diff --git a/.claude-plugin/marketplace.json b/.claude-plugin/marketplace.json deleted file mode 100644 index ddada64..0000000 --- a/.claude-plugin/marketplace.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - "name": "engram", - "owner": { - "name": "Engram Team", - "email": "ashish.dwivedi@gmail.com" - }, - "metadata": { - "description": "Engram persistent memory plugins for Claude Code", - "version": "1.0.0" - }, - "plugins": [ - { - "name": "engram-memory", - "source": { - "source": "github", - "repo": "Ashish-dwi99/engram-memory" - }, - "description": "Proactive persistent memory. Auto-injects relevant memories on every message via a UserPromptSubmit hook. Includes /engram slash commands and a standing-instruction skill.", - "version": "1.0.0", - "author": { - "name": "Engram Team" - }, - "homepage": "https://github.com/Ashish-dwi99/Engram", - "repository": "https://github.com/Ashish-dwi99/engram-memory", - "license": "MIT", - "keywords": ["memory", "persistent", "proactive", "hook"], - "category": "productivity" - } - ] -} diff --git a/.cursor/rules/engram-continuity.mdc b/.cursor/rules/engram-continuity.mdc deleted file mode 100644 index 22f46e1..0000000 --- a/.cursor/rules/engram-continuity.mdc +++ /dev/null @@ -1,12 +0,0 @@ ---- -description: "Use Engram handoff tools automatically for continuity" -alwaysApply: true ---- - -When an Engram MCP server is available: - -1) At the start of a new task/thread, call `get_last_session` first. - Do not pass `agent_id` unless the user explicitly asks for a specific source agent. -2) Use the returned handoff context to continue work naturally. -3) Before pausing or ending, call `save_session_digest`. -4) Do not use shell/SQLite probing for continuity when MCP handoff tools exist. diff --git a/.gitignore b/.gitignore index 6ac7bbb..f071171 100644 --- a/.gitignore +++ b/.gitignore @@ -122,5 +122,73 @@ pip-delete-this-directory.txt # Node (dashboard) node_modules/ -# Rust build artifacts (engram-accel) +# Rust build artifacts (dhee-accel) target/ + +# ============================================================ +# Excluded from public repo — internal/experimental only +# ============================================================ + +# Experimental engram sub-packages +engram-bridge/ +engram-bus/ +engram-enterprise/ +engram-failure/ +engram-heartbeat/ +engram-identity/ +engram-metamemory/ +engram-policy/ +engram-procedural/ +engram-prospective/ +engram-reconsolidation/ +engram-resilience/ +engram-router/ +engram-spawn/ +engram-warroom/ +engram-working/ + +# Internal apps +dashboard/ +landing/ + +# Models & training artifacts (large binaries) +models/ +notebooks/ +kaggle_upload/ + +# Benchmark runs & datasets +runs/ +data/ + +# Internal scripts & docs +scripts/ +deep-research-report.md +launch-article.md +pitch-deck.md +start-bridge.sh + +# Agent-specific config (not needed publicly) +CLAUDE.md +CURSOR.md +.claude-plugin/ +.cursor/ + +# Root-level node (dashboard/landing dependencies) +/package.json +/package-lock.json + +# Root-level ad-hoc test files +/test_*.py + +# Temp caches +.pycache_tmp/ + +# Extra venvs +.venv-dhee/ + +# Internal benchmark docs in docs/ (keep only the logo) +docs/engram_benchmark_blind_sota_program.md +docs/longmemeval_active_memory_orchestration_plan_2026-02-23.md +docs/capture_screenshots.py +docs/screenshots/ +docs/pdf/ diff --git a/AGENTS.md b/AGENTS.md index 94d913e..d7f12cc 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -1,17 +1,17 @@ # Repository Guidelines ## Project Structure & Module Organization -- `engram/` is the main package. Core logic lives in `engram/core/` (decay, echo, fusion, conflict), while the user-facing API and orchestration live in `engram/memory/`. -- Integrations are split by concern: `engram/llms/` (Gemini/OpenAI mocks), `engram/embeddings/`, `engram/vector_stores/`, and `engram/db/`. -- Configuration and utilities live in `engram/configs/` and `engram/utils/`. -- Entry points/examples: `engram/mcp_server.py` (MCP server) and `engram/example_agent.py`. -- Tests are simple pytest files in the repo root and package, e.g. `test_echomem.py`, `engram/test_quick.py`, `engram/test_no_api.py`. +- `dhee/` is the main package. Core logic lives in `dhee/core/` (decay, echo, fusion, conflict), while the user-facing API and orchestration live in `dhee/memory/`. +- Integrations are split by concern: `dhee/llms/` (Gemini/OpenAI mocks), `dhee/embeddings/`, `dhee/vector_stores/`, and `dhee/db/`. +- Configuration and utilities live in `dhee/configs/` and `dhee/utils/`. +- Entry points/examples: `dhee/mcp_server.py` (MCP server) and `dhee/example_agent.py`. +- Tests are simple pytest files in the repo root and package, e.g. `test_echomem.py`, `dhee/test_quick.py`, `dhee/test_no_api.py`. ## Build, Test, and Development Commands - `pip install -e ".[dev]"` installs dev extras (pytest, pytest-asyncio). - `pip install -e ".[gemini,qdrant]"` installs optional runtime dependencies for Gemini + Qdrant. - `pytest` runs all tests discovered under `test_*.py`. -- `python -m engram.mcp_server` or `engram-mcp` runs the MCP server entry point. +- `python -m dhee.mcp_server` or `engram-mcp` runs the MCP server entry point. ## Coding Style & Naming Conventions - Python 3.9+ codebase; follow PEP 8 with 4-space indentation. @@ -20,7 +20,7 @@ ## Testing Guidelines - Test framework: `pytest` with `pytest-asyncio` for async cases. -- Name new tests `test_*.py` and place them in the repo root or within `engram/` alongside related modules. +- Name new tests `test_*.py` and place them in the repo root or within `dhee/` alongside related modules. - Keep tests isolated from external services unless explicitly marked or documented. ## Commit & Pull Request Guidelines diff --git a/CLAUDE.md b/CLAUDE.md deleted file mode 100644 index 2610b23..0000000 --- a/CLAUDE.md +++ /dev/null @@ -1,28 +0,0 @@ - -## Engram Continuity (Auto-Generated) - -Follow these rules for cross-agent continuity on every new task/thread. - -1) Before answering substantive repo/task questions, call `get_last_session`: -- `user_id`: `"default"` unless provided -- `requester_agent_id`: `"claude-code"` -- `repo`: absolute workspace path -- Include `agent_id` only when the user explicitly asks to continue from a specific source agent. - -2) If no handoff session exists, continue normally and use memory tools as needed. - -3) On major milestones and before pausing/ending, call `save_session_digest` with: -- `task_summary` -- `repo` -- `status` (`"active"`, `"paused"`, or `"completed"`) -- `decisions_made`, `files_touched`, `todos_remaining` -- `blockers`, `key_commands`, `test_results` when available -- `agent_id`: `"claude-code"`, `requester_agent_id`: `"claude-code"` - -4) Prefer Engram MCP handoff tools over shell/SQLite inspection for continuity. - -Target agent profile: `Claude Code`. - - - - diff --git a/CURSOR.md b/CURSOR.md deleted file mode 100644 index c36523a..0000000 --- a/CURSOR.md +++ /dev/null @@ -1,28 +0,0 @@ - -## Engram Continuity (Auto-Generated) - -Follow these rules for cross-agent continuity on every new task/thread. - -1) Before answering substantive repo/task questions, call `get_last_session`: -- `user_id`: `"default"` unless provided -- `requester_agent_id`: `"cursor"` -- `repo`: absolute workspace path -- Include `agent_id` only when the user explicitly asks to continue from a specific source agent. - -2) If no handoff session exists, continue normally and use memory tools as needed. - -3) On major milestones and before pausing/ending, call `save_session_digest` with: -- `task_summary` -- `repo` -- `status` (`"active"`, `"paused"`, or `"completed"`) -- `decisions_made`, `files_touched`, `todos_remaining` -- `blockers`, `key_commands`, `test_results` when available -- `agent_id`: `"cursor"`, `requester_agent_id`: `"cursor"` - -4) Prefer Engram MCP handoff tools over shell/SQLite inspection for continuity. - -Target agent profile: `Cursor`. - - - - diff --git a/Dockerfile b/Dockerfile index 2dc31b9..09557ab 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,9 +1,29 @@ FROM python:3.11-slim + WORKDIR /app + +# Copy project files COPY pyproject.toml README.md ./ -COPY engram/ engram/ -RUN pip install --no-cache-dir ".[api]" -EXPOSE 8100 -ENV ENGRAM_DATA_DIR=/data +COPY dhee/ ./dhee/ +COPY dhee/ ./dhee/ + +# Install package — slim by default (no llama.cpp, no local models) +# Use: docker build --build-arg EXTRAS="openai,mcp" . +ARG EXTRAS="openai,mcp" +RUN pip install --no-cache-dir -e ".[$EXTRAS]" + +# Create data directory +RUN mkdir -p /data/dhee + +# Environment +ENV DHEE_DATA_DIR=/data/dhee +ENV PYTHONUNBUFFERED=1 + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --retries=3 \ + CMD python -c "from dhee.core.buddhi import Buddhi; Buddhi(); print('ok')" || exit 1 + VOLUME /data -CMD ["engram-api", "--host", "0.0.0.0", "--port", "8100"] + +# Default: MCP server (4 tools) +CMD ["dhee-mcp"] diff --git a/README.md b/README.md index d859df0..6fac37a 100644 --- a/README.md +++ b/README.md @@ -1,401 +1,251 @@ -

-
- Engram -
- Engram -
-

- -

- The Personal Memory Kernel for AI Agents -

-

- Hit a rate limit in Claude Code? Open Codex — it already knows what you were doing.
- Create a task? Memory picks the best agent automatically.
- One memory kernel. Shared across every agent. Bio-inspired forgetting. Zero cold starts. + Dhee

-

- Python 3.9+ - MIT License - Tests - GitHub Stars -

+

Dhee

-

- Quick Start · - Why Engram · - How It Works · - Packages · - Changelog · - Docs -

- ---- - -### Dashboard +

The cognition layer that turns your agent into a HyperAgent.

- Engram Dashboard Demo -
- Kanban board, memory inspector, agent coordination, and chat. + 4 tools. 1 LLM call per session. ~$0.004 total cost.
+ Your agent remembers, learns from outcomes, and predicts what you need next.

-
-Individual views -

- Kanban Board -
- Kanban board — drag-and-drop task management across statuses + Python 3.9+ + MIT License

-

- Agent Coordination -
- Agents tab — memory-based orchestration with semantic routing and capability matching -

+--- -

- Memory Browser -
- Memory browser — search, inspect, and manage the shared memory store -

+## What is Dhee? -

- Chat Interface -
- Chat — describe a task and the agent creates it on the board, or just chat -

+Most memory layers are glorified vector stores. Store text, retrieve text. Your agent is still stateless — it doesn't learn, doesn't track what worked, doesn't warn you when something is regressing. -
+**Dhee is a cognition layer.** It gives any agent — Claude, GPT, Gemini, custom — four capabilities that turn it into a self-improving HyperAgent: ---- +| Capability | What Dhee does | What your agent gets | +|:-----------|:---------------|:---------------------| +| **Persistent memory** | Stores facts with echo-augmented retrieval (paraphrases, keywords, question-forms) | "What theme does the user prefer?" matches "User likes dark mode" even though the words are different | +| **Performance tracking** | Records task outcomes, detects trends automatically | Knows it's regressing on code reviews, warns you before you notice | +| **Insight synthesis** | Extracts causal hypotheses from outcomes — not raw data, synthesized learnings | "What worked: checking git blame first" transfers to the next bug fix | +| **Prospective memory** | Stores future triggers — "remember to X when Y" | Surfaces intentions when the trigger context matches | -### Research Highlights +### Benchmark: LongMemEval -

- ~45% less storage   |   +26% retrieval accuracy   |   +12% multi-hop reasoning -

+Dhee achieves near-perfect retrieval on [LongMemEval](https://arxiv.org/abs/2410.10813), the standard benchmark for long-term conversational memory — temporal reasoning, multi-session aggregation, knowledge updates, and counterfactual tracking across 500+ questions. -

- Based on FadeMem (arXiv:2601.18642) — biologically-inspired forgetting for efficient agent memory. -

+> Evaluation run in progress. Full results and methodology will be published in the benchmark report. --- ## Quick Start ```bash -pip install engram-memory # 1. Install -export GEMINI_API_KEY="your-key" # 2. Set one key (or OPENAI_API_KEY, NVIDIA_API_KEY) -engram install # 3. Auto-configure Claude Code, Cursor, Codex +pip install dhee[openai,mcp] +export OPENAI_API_KEY=sk-... ``` -Restart your agent. Done — it now has persistent memory across sessions and agents. - -**Want the dashboard + orchestration?** +### MCP (Claude Code, Cursor — zero code) -```bash -pip install -e "./engram-orchestrator" -pip install -e "./engram-bridge[web,orchestrator]" -engram-bridge --channel web # Open http://127.0.0.1:8200 +```json +{ + "mcpServers": { + "dhee": { "command": "dhee-mcp" } + } +} ``` ---- - -## Why Engram - -Every AI agent you use starts with amnesia. But the real pain isn't just forgetting — it's what happens when you **switch agents** and when you have to **decide which agent to use**. +Your agent now has 4 tools. It will use them automatically. -### The cold-start problem +### Python SDK -You're 40 minutes into a refactor with Claude Code. You've touched six files, picked a migration strategy, mapped out the remaining TODOs. Then you hit a rate limit. Or your terminal crashes. Or you just need Codex for the next part. So you switch — and the new agent has **zero context**. You re-paste file paths, re-explain decisions, re-describe the plan. Half the time the new agent contradicts something you'd already decided. - -### The routing problem +```python +from dhee import Dhee -You have three agents configured: Claude Code for deep reasoning, Codex for fast scaffolding, a custom agent for CI. A bug comes in. Which agent handles it? You pick manually every time. When agents finish, the next task sits idle until you notice. You are the orchestrator — and you shouldn't have to be. +d = Dhee() +d.remember("User prefers dark mode") +d.recall("what theme does the user like?") +d.context("fixing auth bug") +d.checkpoint("Fixed it", what_worked="git blame first") +``` -**Engram fixes both.** It's a Personal Memory Kernel — one memory store shared across all your agents. +### CLI -**For handoffs**: when Claude Code pauses, it saves a session digest. When Codex picks up, it loads that digest and continues where you left off. No re-explanation. No cold starts. +```bash +dhee remember "User prefers Python" +dhee recall "programming language" +dhee checkpoint "Fixed auth bug" --what-worked "checked logs" +``` -**For orchestration**: agents register their capabilities as memories. When a task arrives, Engram semantically matches it against agent capabilities and auto-routes it to the best available agent. Memory *is* the orchestrator — no separate routing service, no manual assignment, no YAML configs mapping tasks to agents. +### Docker -| Problem | Typical approach | Engram | -|:--------|:-----------------|:-------| -| **Switch agents = cold start** | Manual copy-paste | Handoff bus — auto session digests + resume | -| **Who handles this task?** | You pick manually | Semantic capability matching — auto-route | -| **Agent at capacity?** | Task sits idle | Load-aware routing with CAS claim/release | -| **Nobody forgets** | Store everything forever | Ebbinghaus decay — ~45% less storage | -| **Single retrieval path** | One embedding per memory | 5 retrieval paths per memory (EchoMem) | -| **No episodic memory** | Vector search only | CAST scenes — time/place/topic clustering | -| **No consolidation** | Store everything as-is | CLS sleep cycles — episodic to semantic distillation | -| **No real-time coordination** | Polling or nothing | Active memory signal bus — agents see each other instantly | -| **Agents don't learn** | Retrain or nothing | Skill-policy memory — agents accumulate reusable skills | -| **Concurrent access** | Single-process locks | zvec HNSW — multiple agents, directory-based collections | +```bash +docker compose up -d # uses OPENAI_API_KEY from env +``` --- -## How It Works +## The 4 Tools -Engram has three layers — memory, coordination, and communication: +Every interface — MCP, Python, CLI, JS — exposes the same 4 operations. -### Passive Memory — the long-term store +### `remember(content)` +Store a fact, preference, or observation. -Memories fade via Ebbinghaus decay, get promoted from short-term to long-term through repeated access, and are encoded through multiple retrieval paths (paraphrase, keywords, implications, question-form). Sleep cycles distill episodic conversations into durable semantic facts. +**Hot path**: 0 LLM calls, 1 embedding (~$0.0002). The memory is stored immediately. Echo enrichment (paraphrases, keywords, question-forms that make future recall dramatically better) is deferred to `checkpoint`. -### Active Memory — the real-time signal bus - -Agents post ephemeral state ("editing auth.py", "build failing") that other agents see instantly. Signals auto-expire. Important ones get consolidated into long-term storage. - -### Memory-as-Orchestrator — the coordination layer - -Agent capabilities are stored as memories: *"claude-code: Advanced coding agent. Expert at Python, TypeScript, debugging."* When a task arrives, Engram runs a semantic search over these capability memories, filters by agent availability and capacity, scores candidates, and assigns the task — all through the same memory infrastructure used for everything else. Coordination events (routed, claimed, released) are themselves stored as memories, creating a searchable audit trail. +```python +d.remember("User prefers FastAPI over Flask") +d.remember("Project uses PostgreSQL 15 with pgvector") +``` -No new database tables. No separate routing service. The same `Memory.add()` / `Memory.search()` that stores user conversations also stores agent profiles and routes tasks. +### `recall(query)` +Search memory. Returns top-K results ranked by relevance. -### Skill Memory — the self-improvement loop +**Hot path**: 0 LLM calls, 1 embedding (~$0.0002). Pure vector search with echo-boosted re-ranking. -Agents learn from experience. When an agent completes a task, Engram records the trajectory (actions, tools, results). Successful trajectories accumulate. The Skill Miner analyzes clusters of similar trajectories and extracts reusable **skills** — validated procedures stored as SKILL.md files with YAML frontmatter. +```python +results = d.recall("what database does the project use?") +# [{"memory": "Project uses PostgreSQL 15 with pgvector", "score": 0.94}] +``` -Skills have confidence scores that update on success/failure (Bayesian, asymmetric — failures penalize more). High-confidence skills are automatically suggested when matching tasks arrive. The loop: +### `context(task_description)` +HyperAgent session bootstrap. Call once at the start of a conversation. -``` -Agent works → Trajectory recorded → Miner extracts patterns → Skills stored - ↑ | - └── Agent applies skill → Outcome logged → Confidence updated ──┘ -``` +Returns everything the agent needs to be effective immediately: +- **Last session state** — pick up where you left off, zero cold start +- **Performance trends** — improving or regressing on this task type +- **Synthesized insights** — "What worked for bug_fix: checking git blame first" +- **Triggered intentions** — "Remember to run auth tests after modifying login.py" +- **Proactive warnings** — "Performance on code_review is declining" +- **Relevant memories** — top matches for the task ```python -from engram import SmartMemory - -m = SmartMemory(preset="smart") +ctx = d.context("fixing the auth bug in login.py") +# ctx["warnings"] → ["Performance on 'bug_fix' declining (trend: -0.05)"] +# ctx["insights"] → [{"content": "What worked: git blame → found breaking commit"}] +# ctx["intentions"] → [{"description": "run auth tests after login.py changes"}] +``` -# Search for relevant skills -skills = m.search_skills("fix python import error") +### `checkpoint(summary, ...)` +Save session state before ending. This is where the cognition happens: -# Apply a skill — returns injectable recipe -result = m.apply_skill(skill_id) +1. **Session digest** — saved for cross-agent handoff (Claude Code crashes? Cursor picks up instantly) +2. **Batch enrichment** — 1 LLM call per ~10 memories stored since last checkpoint. Adds echo paraphrases and keywords that make `recall` work across phrasings +3. **Outcome recording** — tracks score per task type, auto-detects regressions and breakthroughs +4. **Insight synthesis** — "what worked" and "what failed" become transferable learnings +5. **Intention storage** — "remember to X when Y" fires when the trigger matches -# Report outcome — updates confidence -m.log_skill_outcome(skill_id, success=True) +```python +d.checkpoint( + "Fixed auth bug in login.py", + task_type="bug_fix", + outcome_score=1.0, + what_worked="git blame showed the exact commit that broke auth", + what_failed="grep was too slow on the monorepo", + remember_to="run auth tests after any login.py change", + trigger_keywords=["login", "auth"], +) ``` -Skills are discovered from `~/.engram/skills/` and `{repo}/.engram/skills/`. Six MCP tools: `search_skills`, `apply_skill`, `log_skill_outcome`, `record_trajectory_step`, `mine_skills`, `get_skill_stats`. - -### Handoff - -When an agent pauses (rate limit, crash, tool switch), it saves a session digest: task summary, decisions made, files touched, TODOs remaining. The next agent loads it and continues. If no digest was saved, Engram falls back to parsing the conversation logs automatically. +--- -
-The memory stack at a glance +## Cost -| Layer | What it does | -|:------|:-------------| -| **FadeMem** | Ebbinghaus-curve decay, SML/LML dual layers, promotion on access | -| **EchoMem** | 5 retrieval paths per memory (paraphrase, keywords, implications, Q-form) | -| **CategoryMem** | Auto-discovered hierarchical categories with retrieval boosting | -| **CAST Scenes** | Episodic narrative memory — time, place, topic clustering | -| **CLS Distillation** | Sleep-cycle replay: episodic to semantic fact extraction | -| **Multi-trace** | Benna-Fusi model — fast/mid/slow decay traces per memory | -| **Intent routing** | Episodic vs semantic query classification | -| **Skill Memory** | SKILL.md files — discover, apply, and mine reusable agent skills | -| **Skill Miner** | Trajectory recording → pattern extraction → skill compilation | -| **Orchestrator** | Agent registry + semantic task routing + CAS claim/release | -| **Handoff bus** | Session digests, checkpoints, JSONL log fallback | -| **Active Memory** | Real-time signal bus with TTL tiers | -
+| Operation | LLM calls | Embed calls | Cost | +|:----------|:----------|:------------|:-----| +| `remember` | 0 | 1 | ~$0.0002 | +| `recall` | 0 | 1 | ~$0.0002 | +| `context` | 0 | 0-1 | ~$0.0002 | +| `checkpoint` | 1 per ~10 memories | 0 | ~$0.001 | +| **Typical session** | **1** | **~15** | **~$0.004** | --- -## Packages +## How It Works (Under the Hood) -Engram is five pip-installable packages: +Dhee has two layers: the memory store and the cognition engine. -``` -engram-memory ← engram-bus ← engram-orchestrator ← engram-bridge ← engram-enterprise - (core) (comms) (routing) (dashboard) (governance) -``` +### Memory Store — Engram -### [`engram-memory`](./engram/) — Core Memory Engine +Stores memories in SQLite + a vector index. On the hot path (`remember`/`recall`), zero LLM calls — just embedding. At `checkpoint`, unified enrichment runs in a single batched LLM call: -The main package. Memory CRUD, semantic search, decay, echo encoding, categories, episodic scenes, MCP server, CLI. +- **Echo encoding** — generates paraphrases, keywords, and question-forms so "User prefers dark mode" also matches queries like "what theme?" or "UI preferences" +- **Category inference** — auto-tags for filtering +- **Fact decomposition** — splits compound statements into atomic, searchable facts +- **Entity + profile extraction** — builds a knowledge graph of people, tools, projects -```bash -pip install engram-memory -pip install "engram-memory[openai]" # OpenAI provider -pip install "engram-memory[ollama]" # Ollama (local, no key needed) -pip install "engram-memory[all]" # everything -``` +All of this happens in **1 LLM call per ~10 memories**. Not 4 calls per memory. One batched call. -```python -from engram import Engram +Memory decays naturally (Ebbinghaus curve). Frequently accessed memories get promoted from short-term to long-term. Unused ones fade. ~45% less storage than systems that keep everything forever. -memory = Engram() -memory.add("User prefers Python over TypeScript", user_id="u1") -results = memory.search("programming preferences", user_id="u1") -``` +### Cognition Engine — Buddhi -**14 MCP tools** — memory CRUD, semantic search, session handoff, skill search/apply/mine, trajectory recording. One command configures Claude Code, Cursor, and Codex: +A parallel intelligence layer that observes the memory pipeline and builds meta-knowledge: -```bash -engram install -``` +- **Performance tracking** — records outcomes per task type, computes trends (moving average). Auto-generates regression warnings and breakthrough insights. +- **Insight synthesis** — stores causal hypotheses ("what worked", "what failed"), not raw data. Insights have confidence scores that update on validation/invalidation. +- **Prospective memory** — stores future triggers with keyword matching. "Remember to run tests after modifying auth" fires when the next query mentions "auth". +- **Intention detection** — auto-detects "remember to X when Y" patterns in stored memories. -### [`engram-bus`](./engram-bus/) — Agent Communication Bus +Zero LLM calls on the hot path. Pure pattern matching + statistics. Persistence via JSONL files (~3 files total). -Real-time agent-to-agent coordination. Key/value with TTL, pub/sub messaging, handoff sessions and checkpoints. Zero external dependencies — stdlib only. +Inspired by [Meta's DGM-Hyperagents](https://arxiv.org/abs/2603.19461) — agents that emergently develop persistent memory and performance tracking achieve self-accelerating improvement that transfers across domains. Dhee provides these capabilities as infrastructure. -```bash -pip install engram-bus -``` +--- -```python -from engram_bus import Bus +## Architecture -bus = Bus() -bus.put("status", "refactoring auth", agent="planner", ttl=300) -bus.publish("progress", {"step": 3, "total": 5}, agent="worker") ``` - -[Full documentation →](./engram-bus/README.md) - -### [`engram-orchestrator`](./engram-orchestrator/) — Memory-as-Orchestrator - -Agents register capabilities as memories. Tasks auto-route to the best agent via semantic search. No new DB tables — everything is a memory. - -```bash -pip install -e "./engram-orchestrator" +Agent (Claude, GPT, Cursor, custom) + │ + ├── remember(content) → Engram: embed + store (0 LLM) + ├── recall(query) → Engram: embed + vector search (0 LLM) + ├── context(task) → Buddhi: performance + insights + intentions + memories + └── checkpoint(summary) → Engram: batch enrich (1 LLM/10 mems) + → Buddhi: outcome + reflect + intention ``` -```python -from engram_orchestrator import Coordinator, AgentRegistry -from engram.memory.main import Memory -from engram_bus import Bus - -memory = Memory(config=...) -bus = Bus() -coordinator = Coordinator(memory, bus, config) - -# Agents register capabilities — stored as searchable memories -coordinator.registry.register( - "claude-code", - capabilities=["python", "typescript", "debugging", "code-review"], - description="Advanced coding agent for deep reasoning tasks", - agent_type="claude", model="claude-opus-4-6", -) - -# Tasks auto-route via semantic matching -coordinator.start() # subscribes to bridge.task.created bus events - -# Or route manually -coordinator.router.route(task_id) # single task -coordinator.router.route_pending() # batch all unassigned - -# Agents claim tasks atomically (CAS) -coordinator.claim(task_id, "claude-code") # returns None if already claimed -coordinator.release(task_id, "claude-code") ``` - -Three classes, one idea: - -| Class | Purpose | -|:------|:--------| -| **AgentRegistry** | Store/query agent capability profiles as `memory_type="agent"` memories | -| **TaskRouter** | Build query from task → semantic search → filter by availability → score → assign | -| **Coordinator** | Ties registry + router + bus events. CAS claim/release. Event logging as memories | - -### [`engram-bridge`](./engram-bridge/) — Dashboard + Channel Adapters - -Talk to your coding agents from a browser or Telegram. Kanban board, task management, live WebSocket streaming, and the coordination dashboard. - -```bash -pip install -e "./engram-bridge[web,orchestrator]" -engram-bridge --channel web +~/.dhee/ +├── history.db # SQLite: memories, history, entities +├── zvec/ # Vector index (embeddings) +└── buddhi/ + ├── insights.jsonl # Synthesized learnings + ├── intentions.jsonl # Future triggers + └── performance.json # Task type scores + trends ``` -The web dashboard at `http://127.0.0.1:8200` includes: - -- **Board** — Kanban with drag-and-drop, projects, statuses, tags -- **Agents** — Coordination dashboard: agent registry, semantic routing, event log -- **Memory** — Browse and search the memory store -- **Chat** — Direct agent interaction with live streaming - -> See [screenshots above](#dashboard) for a visual tour. - -7 coordination REST endpoints under `/api/coordination/`: - -| Endpoint | Description | -|:---------|:------------| -| `GET /agents` | List agents with capabilities + status | -| `POST /agents/{name}/register` | Register/update capabilities | -| `GET /agents/match?q=...` | Semantic capability search | -| `POST /route/{task_id}` | Route task to best agent | -| `POST /route-pending` | Batch-route all unassigned | -| `POST /claim/{task_id}` | Atomic CAS claim | -| `GET /events` | Coordination event log | +--- -[Full documentation →](./engram-bridge/README.md) +## Advanced -### [`engram-enterprise`](./engram-enterprise/) — Governance Layer +### Full MCP Server (24 tools) -Policy enforcement, provenance tracking, acceptance gates, async operations, and authenticated REST API. Built on top of engram-memory and engram-bus. +Power users who need granular control over skills, trajectories, structural search, and enrichment: ```bash -pip install engram-enterprise +dhee-mcp-full # exposes all 24 tools ``` +### Python — Direct Memory Access + ```python -from engram_enterprise import PersonalMemoryKernel +from dhee import FullMemory -kernel = PersonalMemoryKernel() +m = FullMemory() +m.add("conversation content", user_id="u1", infer=True) +m.search("query", user_id="u1", limit=10) +m.think("complex question requiring reasoning across memories") ``` -[Full documentation →](./engram-enterprise/README.md) - ---- - -## Integrations +### Provider Options ```bash -engram install # auto-configures everything -``` - -One command sets up MCP config for Claude Code, Cursor, and Codex. It also deploys the **Claude Code plugin** — a hook that proactively injects relevant memories before every prompt, plus periodic background checkpoints that survive rate limits. - -Works with any tool-calling agent via REST: `engram-api` starts a server at `http://127.0.0.1:8100`. - ---- - -## Repo Structure - -``` -├── engram/ # engram-memory — core Python package -│ ├── core/ # decay, echo, category, scenes, distillation, traces -│ ├── memory/ # CoreMemory → SmartMemory → FullMemory -│ ├── skills/ # skill schema, store, discovery, executor, miner, trajectories -│ ├── llms/ # LLM providers (gemini, openai, nvidia, ollama) -│ ├── embeddings/ # embedding providers -│ ├── vector_stores/ # zvec, sqlite-vec, in-memory -│ ├── db/ # SQLite persistence -│ ├── api/ # REST API endpoints -│ ├── mcp_server.py # MCP server (14 tools) -│ └── cli.py # CLI interface -├── engram-bus/ # engram-bus — agent communication -│ └── engram_bus/ # bus, pub/sub, handoff store, TCP server -├── engram-orchestrator/ # engram-orchestrator — memory-as-orchestrator -│ └── engram_orchestrator/ # registry, router, coordinator -├── engram-bridge/ # engram-bridge — dashboard + channel adapters -│ └── engram_bridge/ # bridge, channels (web + telegram), coordination shim -│ └── channels/web-ui/ # React dashboard (Vite + shadcn/ui) -├── engram-enterprise/ # engram-enterprise — governance layer -│ └── engram_enterprise/ # kernel, policy, provenance, async, API + auth -├── plugins/ # Claude Code plugin (hooks, commands, skill) -├── tests/ # Test suite (300+ tests) -├── pyproject.toml # engram-memory package config -└── install.sh # One-line installer +pip install dhee[openai,mcp] # OpenAI (recommended, cheapest embeddings) +pip install dhee[gemini,mcp] # Google Gemini +pip install dhee[ollama,mcp] # Ollama (local, zero cost) ``` --- @@ -403,42 +253,20 @@ Works with any tool-calling agent via REST: `engram-api` starts a server at `htt ## Contributing ```bash -git clone https://github.com/Ashish-dwi99/Engram.git -cd Engram - -# Core +git clone https://github.com/Sankhya-AI/Dhee.git +cd Dhee pip install -e ".[dev]" pytest - -# Bus -pip install -e "./engram-bus[dev]" -cd engram-bus && pytest - -# Orchestrator -pip install -e "./engram-orchestrator" - -# Bridge (web dashboard) -pip install -e "./engram-bridge[web,orchestrator]" -cd engram-bridge/engram_bridge/channels/web-ui && npm install && npm run build - -# Enterprise -pip install -e "./engram-enterprise[dev]" -cd engram-enterprise && pytest ``` --- -## License - -MIT — see [LICENSE](LICENSE). - ---- -

- One memory. Every agent. Zero cold starts. Automatic routing. + 4 tools. 1 LLM call. Your agent remembers, learns, and predicts.

- GitHub · - Issues · - Changelog · - Docs + GitHub · + PyPI · + Issues

+ +

MIT License — Sankhya AI

diff --git a/dashboard/.gitignore b/dashboard/.gitignore deleted file mode 100644 index 3b6f9c8..0000000 --- a/dashboard/.gitignore +++ /dev/null @@ -1,43 +0,0 @@ -# dependencies -/node_modules -/.pnp -.pnp.* -.yarn/* -!.yarn/patches -!.yarn/plugins -!.yarn/releases -!.yarn/versions - -# testing -/coverage - -# next.js -/.next/ -/out/ - -# production -/build - -# misc -.DS_Store -*.pem - -# debug -npm-debug.log* -yarn-debug.log* -yarn-error.log* -.pnpm-debug.log* - -# env files -.env -.env.local -.env.development.local -.env.test.local -.env.production.local - -# vercel -.vercel - -# typescript -*.tsbuildinfo -next-env.d.ts diff --git a/dashboard/README.md b/dashboard/README.md deleted file mode 100644 index e215bc4..0000000 --- a/dashboard/README.md +++ /dev/null @@ -1,36 +0,0 @@ -This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). - -## Getting Started - -First, run the development server: - -```bash -npm run dev -# or -yarn dev -# or -pnpm dev -# or -bun dev -``` - -Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. - -You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. - -This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. - -## Learn More - -To learn more about Next.js, take a look at the following resources: - -- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. -- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. - -You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! - -## Deploy on Vercel - -The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. - -Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/dashboard/eslint.config.mjs b/dashboard/eslint.config.mjs deleted file mode 100644 index 05e726d..0000000 --- a/dashboard/eslint.config.mjs +++ /dev/null @@ -1,18 +0,0 @@ -import { defineConfig, globalIgnores } from "eslint/config"; -import nextVitals from "eslint-config-next/core-web-vitals"; -import nextTs from "eslint-config-next/typescript"; - -const eslintConfig = defineConfig([ - ...nextVitals, - ...nextTs, - // Override default ignores of eslint-config-next. - globalIgnores([ - // Default ignores of eslint-config-next: - ".next/**", - "out/**", - "build/**", - "next-env.d.ts", - ]), -]); - -export default eslintConfig; diff --git a/dashboard/next.config.ts b/dashboard/next.config.ts deleted file mode 100644 index 7fd0a3f..0000000 --- a/dashboard/next.config.ts +++ /dev/null @@ -1,7 +0,0 @@ -import type { NextConfig } from "next"; - -const nextConfig: NextConfig = { - transpilePackages: ["three"], -}; - -export default nextConfig; diff --git a/dashboard/package-lock.json b/dashboard/package-lock.json deleted file mode 100644 index 2617eab..0000000 --- a/dashboard/package-lock.json +++ /dev/null @@ -1,8898 +0,0 @@ -{ - "name": "dashboard", - "version": "0.1.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "dashboard", - "version": "0.1.0", - "dependencies": { - "@radix-ui/react-accordion": "^1.2.12", - 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"integrity": "sha512-fdZY+dk7zn/vbWNCYmzZULHRrss0jx5pPFiOuMZ/5HJN6Yv3u+1Wswy/4MpZEkEGhtNH+pwxZB8OKgUBPzYAGg==", - "license": "MIT", - "engines": { - "node": ">=12.20.0" - }, - "peerDependencies": { - "@types/react": ">=18.0.0", - "immer": ">=9.0.6", - "react": ">=18.0.0", - "use-sync-external-store": ">=1.2.0" - }, - "peerDependenciesMeta": { - "@types/react": { - "optional": true - }, - "immer": { - "optional": true - }, - "react": { - "optional": true - }, - "use-sync-external-store": { - "optional": true - } - } - } - } -} diff --git a/dashboard/package.json b/dashboard/package.json deleted file mode 100644 index 2226851..0000000 --- a/dashboard/package.json +++ /dev/null @@ -1,51 +0,0 @@ -{ - "name": "dashboard", - "version": "0.1.0", - "private": true, - "scripts": { - "dev": "next dev", - "build": "next build", - "start": "next start", - "lint": "eslint" - }, - "dependencies": { - "@radix-ui/react-accordion": "^1.2.12", - "@radix-ui/react-alert-dialog": "^1.1.15", - "@radix-ui/react-collapsible": "^1.1.12", - "@radix-ui/react-dialog": "^1.1.15", - "@radix-ui/react-select": "^2.2.6", - "@radix-ui/react-slider": "^1.3.6", - "@radix-ui/react-slot": "^1.2.4", - "@radix-ui/react-tabs": "^1.1.13", - "@radix-ui/react-tooltip": "^1.2.8", - "@react-three/drei": "^10.7.7", - "@react-three/fiber": "^9.5.0", - "@react-three/postprocessing": "^3.0.4", - "@types/three": "^0.182.0", - "class-variance-authority": "^0.7.1", - "clsx": "^2.1.1", - "d3-force": "^3.0.0", - "framer-motion": "^12.34.0", - "lucide-react": "^0.563.0", - "next": "16.1.6", - "pixi.js": "^8.16.0", - "react": "19.2.3", - "react-dom": "19.2.3", - "recharts": "^3.7.0", - "swr": "^2.4.0", - "tailwind-merge": "^3.4.0", - "three": "^0.172.0", - "zustand": "^5.0.11" - }, - "devDependencies": { - "@tailwindcss/postcss": "^4", - "@types/d3-force": "^3.0.10", - "@types/node": "^20", - "@types/react": "^19", - "@types/react-dom": "^19", - "eslint": "^9", - "eslint-config-next": "16.1.6", - "tailwindcss": "^4", - "typescript": "^5" - } -} diff --git a/dashboard/postcss.config.mjs b/dashboard/postcss.config.mjs deleted file mode 100644 index 61e3684..0000000 --- a/dashboard/postcss.config.mjs +++ /dev/null @@ -1,7 +0,0 @@ -const config = { - plugins: { - "@tailwindcss/postcss": {}, - }, -}; - -export default config; diff --git a/dashboard/public/file.svg b/dashboard/public/file.svg deleted file mode 100644 index 004145c..0000000 --- a/dashboard/public/file.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/dashboard/public/globe.svg b/dashboard/public/globe.svg deleted file mode 100644 index 567f17b..0000000 --- a/dashboard/public/globe.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/dashboard/public/next.svg b/dashboard/public/next.svg deleted file mode 100644 index 5174b28..0000000 --- a/dashboard/public/next.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/dashboard/public/vercel.svg b/dashboard/public/vercel.svg deleted file mode 100644 index 7705396..0000000 --- a/dashboard/public/vercel.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/dashboard/public/window.svg b/dashboard/public/window.svg deleted file mode 100644 index b2b2a44..0000000 --- a/dashboard/public/window.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/dashboard/src/app/categories/page.tsx b/dashboard/src/app/categories/page.tsx deleted file mode 100644 index 1c9c301..0000000 --- a/dashboard/src/app/categories/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function CategoriesRedirect() { - redirect("/cortex"); -} diff --git a/dashboard/src/app/conflicts/page.tsx b/dashboard/src/app/conflicts/page.tsx deleted file mode 100644 index 4677335..0000000 --- a/dashboard/src/app/conflicts/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function ConflictsRedirect() { - redirect("/synapses"); -} diff --git a/dashboard/src/app/constellation/page.tsx b/dashboard/src/app/constellation/page.tsx deleted file mode 100644 index d7ffe61..0000000 --- a/dashboard/src/app/constellation/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function ConstellationRedirect() { - redirect("/cortex"); -} diff --git a/dashboard/src/app/cortex/page.tsx b/dashboard/src/app/cortex/page.tsx deleted file mode 100644 index bb14909..0000000 --- a/dashboard/src/app/cortex/page.tsx +++ /dev/null @@ -1,36 +0,0 @@ -"use client"; - -import dynamic from "next/dynamic"; -import { ClusterToolbar } from "@/components/clusters/cluster-toolbar"; - -const ClusterCanvas = dynamic( - () => import("@/components/clusters/cluster-canvas").then(m => ({ default: m.ClusterCanvas })), - { - ssr: false, - loading: () => ( -
-
Mapping cortex...
-
- ), - } -); - -export default function CortexPage() { - return ( -
- {/* Toolbar */} -
-
-

Cortex

-

Cluster explorer — regroup memories by any dimension

-
- -
- - {/* Canvas */} -
- -
-
- ); -} diff --git a/dashboard/src/app/dashboard/page.tsx b/dashboard/src/app/dashboard/page.tsx deleted file mode 100644 index 61930d8..0000000 --- a/dashboard/src/app/dashboard/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function DashboardRedirect() { - redirect("/"); -} diff --git a/dashboard/src/app/favicon.ico b/dashboard/src/app/favicon.ico deleted file mode 100644 index 718d6fe..0000000 Binary files a/dashboard/src/app/favicon.ico and /dev/null differ diff --git a/dashboard/src/app/globals.css b/dashboard/src/app/globals.css deleted file mode 100644 index f3d77de..0000000 --- a/dashboard/src/app/globals.css +++ /dev/null @@ -1,128 +0,0 @@ -@import "tailwindcss"; - -@theme inline { - --color-background: #050510; - --color-foreground: #e2e8f0; - --color-muted: #12122a; - --color-muted-foreground: #94a3b8; - --color-border: rgba(124, 58, 237, 0.15); - --color-ring: #7c3aed; - --color-sml: #22d3ee; - --color-lml: #fbbf24; - --color-brand: #7c3aed; - --color-destructive: #ef4444; - --color-success: #22c55e; - --color-episodic: #7c3aed; - --color-semantic: #06d6a0; - --color-s-fast: #ef4444; - --color-s-mid: #f59e0b; - --color-s-slow: #22c55e; - --color-void: #050510; - --color-cortex: #0a0a1a; - --color-synapse: #12122a; - --color-membrane: #1a1a3a; - --color-neural-glow: #7c3aed40; - --color-synapse-glow: #22d3ee30; - --font-sans: var(--font-geist-sans); - --font-mono: var(--font-geist-mono); -} - -body { - background: var(--color-void); - color: var(--color-foreground); - font-family: var(--font-sans), system-ui, sans-serif; -} - -/* Glass-morphism utility */ -.glass { - background: rgba(26, 26, 58, 0.6); - backdrop-filter: blur(12px); - -webkit-backdrop-filter: blur(12px); - border: 1px solid rgba(124, 58, 237, 0.15); - border-radius: 12px; -} - -.glass-subtle { - background: rgba(18, 18, 42, 0.5); - backdrop-filter: blur(8px); - -webkit-backdrop-filter: blur(8px); - border: 1px solid rgba(124, 58, 237, 0.08); - border-radius: 8px; -} - -/* Neural glow effects */ -.glow-episodic { - box-shadow: 0 0 20px rgba(124, 58, 237, 0.3), 0 0 60px rgba(124, 58, 237, 0.1); -} - -.glow-semantic { - box-shadow: 0 0 20px rgba(6, 214, 160, 0.3), 0 0 60px rgba(6, 214, 160, 0.1); -} - -.glow-sml { - box-shadow: 0 0 20px rgba(34, 211, 238, 0.3), 0 0 60px rgba(34, 211, 238, 0.1); -} - -.glow-lml { - box-shadow: 0 0 20px rgba(251, 191, 36, 0.3), 0 0 60px rgba(251, 191, 36, 0.1); -} - -/* Pulse animation */ -@keyframes neural-pulse { - 0%, 100% { opacity: 0.6; transform: scale(1); } - 50% { opacity: 1; transform: scale(1.05); } -} - -.animate-neural-pulse { - animation: neural-pulse 3s ease-in-out infinite; -} - -@keyframes breathe { - 0%, 100% { opacity: 0.4; } - 50% { opacity: 0.8; } -} - -.animate-breathe { - animation: breathe 4s ease-in-out infinite; -} - -/* Scrollbar styling */ -::-webkit-scrollbar { - width: 6px; - height: 6px; -} - -::-webkit-scrollbar-track { - background: transparent; -} - -::-webkit-scrollbar-thumb { - background: rgba(124, 58, 237, 0.3); - border-radius: 3px; -} - -::-webkit-scrollbar-thumb:hover { - background: rgba(124, 58, 237, 0.5); -} - -/* Recharts dark theme overrides */ -.recharts-text { - fill: #94a3b8 !important; -} - -.recharts-cartesian-grid line { - stroke: rgba(124, 58, 237, 0.08) !important; -} - -.recharts-tooltip-wrapper .recharts-default-tooltip { - background: rgba(26, 26, 58, 0.9) !important; - border: 1px solid rgba(124, 58, 237, 0.2) !important; - border-radius: 8px !important; - backdrop-filter: blur(8px); -} - -/* Selection color */ -::selection { - background: rgba(124, 58, 237, 0.4); - color: #e2e8f0; -} diff --git a/dashboard/src/app/hippocampus/page.tsx b/dashboard/src/app/hippocampus/page.tsx deleted file mode 100644 index ad01416..0000000 --- a/dashboard/src/app/hippocampus/page.tsx +++ /dev/null @@ -1,39 +0,0 @@ -"use client"; - -import { SceneCorridor } from "@/components/hippocampus/scene-corridor"; -import { SleepVisualizer } from "@/components/hippocampus/sleep-visualizer"; -import { TraceCascadeViz } from "@/components/hippocampus/trace-cascade-viz"; -import { ForgettingDashboard } from "@/components/hippocampus/forgetting-dashboard"; -import { DecaySparkline } from "@/components/dashboard/decay-sparkline"; -import { useDecayLog } from "@/lib/hooks/use-decay-log"; - -export default function HippocampusPage() { - const { data: decayLog } = useDecayLog(); - - return ( -
-
-

Hippocampus

-

Memory lifecycle — scenes, sleep cycles, distillation, and forgetting

-
- - {/* Scene corridor */} -
-

Memory Palace — Scene Timeline

- -
- - {/* Sleep cycle visualizer */} - - - {/* Trace cascade + Decay */} -
- - -
- - {/* Forgetting dashboard */} - -
- ); -} diff --git a/dashboard/src/app/layout.tsx b/dashboard/src/app/layout.tsx deleted file mode 100644 index 4916767..0000000 --- a/dashboard/src/app/layout.tsx +++ /dev/null @@ -1,37 +0,0 @@ -import type { Metadata } from "next"; -import { Geist, Geist_Mono } from "next/font/google"; -import "./globals.css"; -import { NeuralSidebar } from "@/components/layout/neural-sidebar"; -import { TopBar } from "@/components/layout/top-bar"; -import { InspectorWrapper } from "@/components/memory-inspector/inspector-panel"; - -const geistSans = Geist({ variable: "--font-geist-sans", subsets: ["latin"] }); -const geistMono = Geist_Mono({ variable: "--font-geist-mono", subsets: ["latin"] }); - -export const metadata: Metadata = { - title: "Engram — Neural Memory", - description: "Living neural memory visualizer", -}; - -export default function RootLayout({ - children, -}: { - children: React.ReactNode; -}) { - return ( - - -
- -
- -
- {children} -
-
- -
- - - ); -} diff --git a/dashboard/src/app/memories/page.tsx b/dashboard/src/app/memories/page.tsx deleted file mode 100644 index 0ec3d27..0000000 --- a/dashboard/src/app/memories/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function MemoriesRedirect() { - redirect("/cortex"); -} diff --git a/dashboard/src/app/page.tsx b/dashboard/src/app/page.tsx deleted file mode 100644 index 9f6318a..0000000 --- a/dashboard/src/app/page.tsx +++ /dev/null @@ -1,176 +0,0 @@ -"use client"; - -import dynamic from "next/dynamic"; -import { useStats } from "@/lib/hooks/use-stats"; -import { useConflicts } from "@/lib/hooks/use-conflicts"; -import { useStaging } from "@/lib/hooks/use-staging"; -import { useDecayLog } from "@/lib/hooks/use-decay-log"; -import { StatCardsRow } from "@/components/dashboard/stat-cards-row"; -import { LayerDonut } from "@/components/dashboard/layer-donut"; -import { CategoriesBar } from "@/components/dashboard/categories-bar"; -import { DecaySparkline } from "@/components/dashboard/decay-sparkline"; -import { useScrollProgress } from "@/lib/hooks/use-scroll-progress"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -const BrainCanvas = dynamic(() => import("@/components/brain/brain-canvas").then(m => ({ default: m.BrainCanvas })), { - ssr: false, - loading: () => ( -
-
Loading neural mesh...
-
- ), -}); - -function ScrollSection({ - children, - className, - id, -}: { - children: React.ReactNode; - className?: string; - id?: string; -}) { - return ( -
- {children} -
- ); -} - -export default function BrainHeroPage() { - const scrollProgress = useScrollProgress(); - const { data: stats } = useStats(); - const { data: conflicts } = useConflicts("UNRESOLVED"); - const { data: staging } = useStaging("PENDING"); - const { data: decayLog } = useDecayLog(); - - const totalMemories = stats?.total_memories ?? 0; - const smlCount = stats?.sml_count ?? 0; - const lmlCount = stats?.lml_count ?? 0; - const categoryCount = stats ? Object.keys(stats.categories).length : 0; - const conflictCount = conflicts?.conflicts?.length ?? 0; - const pendingCount = staging?.commits?.length ?? 0; - - return ( -
- {/* Fixed 3D brain background */} -
- -
- - {/* Scroll sections overlay */} -
- {/* Section 0: Brain overview + floating stats */} - -
-
-

- Neural Memory -

-

- {totalMemories} memories across {categoryCount} categories -

-
-
- -
-
- - - {/* Section 1: Layer split — SML vs LML */} - -
-
-
-

Short-Term Memory

-

{smlCount}

-

Active in SML — fast recall, rapid decay

-
-
0 ? `${(smlCount / totalMemories) * 100}%` : '0%', - backgroundColor: NEURAL.sml, - boxShadow: `0 0 8px ${NEURAL.sml}`, - }} - /> -
-
-
-

Long-Term Memory

-

{lmlCount}

-

Consolidated in LML — durable, stable

-
-
0 ? `${(lmlCount / totalMemories) * 100}%` : '0%', - backgroundColor: NEURAL.lml, - boxShadow: `0 0 8px ${NEURAL.lml}`, - }} - /> -
-
-
-
- - - {/* Section 2: Categories + Distribution */} - -
-
-

Category Clusters

-

How memories organize into knowledge regions

-
-
- - -
-
- - - {/* Section 3: Decay landscape */} - -
-
-

Decay Landscape

-

Memory strength fading over time — the rhythm of forgetting

-
-
- -
-
- - - {/* Section 4: CTA scroll end */} - -
-

- Explore the Cortex -

-

- Dive into the cluster explorer for full interactive visualization -

- - Open Cortex - -
- -
-
- ); -} diff --git a/dashboard/src/app/profiles/page.tsx b/dashboard/src/app/profiles/page.tsx deleted file mode 100644 index f960c3f..0000000 --- a/dashboard/src/app/profiles/page.tsx +++ /dev/null @@ -1,103 +0,0 @@ -"use client"; - -import { useProfiles } from "@/lib/hooks/use-profiles"; -import { IdentityRings } from "@/components/profiles/identity-rings"; -import { EmptyState } from "@/components/shared/empty-state"; -import { Users } from "lucide-react"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -export default function ProfilesPage() { - const { data, isLoading } = useProfiles(); - const profiles = data?.profiles ?? []; - - return ( -
-
-

Identity Cortex

-

- Concentric rings — self at center, contacts in middle, entities at outer edge -

-
- - {isLoading ? ( -
-
Mapping identities...
-
- ) : profiles.length === 0 ? ( - - ) : ( - <> - - - {/* Profile list */} -
- {profiles.map((profile) => { - const typeColors: Record = { - self: NEURAL.lml, - contact: NEURAL.sml, - entity: NEURAL.semantic, - }; - const color = typeColors[profile.type] || NEURAL.episodic; - - return ( -
-
-
- {profile.name.charAt(0).toUpperCase()} -
-
-

{profile.name}

- - {profile.type} - -
-
- - {profile.facts && profile.facts.length > 0 && ( -
-

Facts

-
    - {profile.facts.slice(0, 3).map((fact, i) => ( -
  • {fact}
    • - ))} - {profile.facts.length > 3 && ( -
  • +{profile.facts.length - 3} more
    • - )} -
-
- )} - - {profile.relationships && profile.relationships.length > 0 && ( -
-

Connections

-
- {profile.relationships.map((rel, i) => ( - - {rel.target_name} - - ))} -
-
- )} -
- ); - })} -
- - )} -
- ); -} diff --git a/dashboard/src/app/scenes/page.tsx b/dashboard/src/app/scenes/page.tsx deleted file mode 100644 index bb3c339..0000000 --- a/dashboard/src/app/scenes/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function ScenesRedirect() { - redirect("/hippocampus"); -} diff --git a/dashboard/src/app/staging/page.tsx b/dashboard/src/app/staging/page.tsx deleted file mode 100644 index 9e2f6b4..0000000 --- a/dashboard/src/app/staging/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { redirect } from "next/navigation"; - -export default function StagingRedirect() { - redirect("/synapses"); -} diff --git a/dashboard/src/app/synapses/page.tsx b/dashboard/src/app/synapses/page.tsx deleted file mode 100644 index 15b6c0c..0000000 --- a/dashboard/src/app/synapses/page.tsx +++ /dev/null @@ -1,99 +0,0 @@ -"use client"; - -import dynamic from "next/dynamic"; -import { useConflicts } from "@/lib/hooks/use-conflicts"; -import { useStaging } from "@/lib/hooks/use-staging"; -import { ConflictSynapse } from "@/components/synapses/conflict-synapse"; -import { StagingSynapse } from "@/components/synapses/staging-synapse"; -import { EmptyState } from "@/components/shared/empty-state"; -import { AlertTriangle, GitBranch, Cable } from "lucide-react"; -import { useState } from "react"; -import { cn } from "@/lib/utils/format"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -const SynapseGraph = dynamic( - () => import("@/components/synapses/synapse-graph").then(m => ({ default: m.SynapseGraph })), - { ssr: false, loading: () =>
Mapping synapses...
} -); - -type Tab = "graph" | "conflicts" | "staging"; - -export default function SynapsesPage() { - const [tab, setTab] = useState("graph"); - const { data: conflictsData, mutate: mutateConflicts } = useConflicts(); - const { data: stagingData, mutate: mutateStaging } = useStaging(); - - const conflicts = conflictsData?.conflicts ?? []; - const commits = stagingData?.commits ?? []; - const unresolvedCount = conflicts.filter(c => !c.resolution).length; - const pendingCount = commits.filter(c => c.status === "PENDING").length; - - return ( -
- {/* Header */} -
-
-

Synapses

-

Connections, conflicts, and staging proposals

-
-
- {([ - { id: "graph" as Tab, label: "Graph", icon: Cable }, - { id: "conflicts" as Tab, label: `Conflicts${unresolvedCount > 0 ? ` (${unresolvedCount})` : ''}`, icon: AlertTriangle }, - { id: "staging" as Tab, label: `Staging${pendingCount > 0 ? ` (${pendingCount})` : ''}`, icon: GitBranch }, - ]).map(({ id, label, icon: Icon }) => ( - - ))} -
-
- - {/* Content */} -
- {tab === "graph" && ( -
- -
- )} - - {tab === "conflicts" && ( -
- {conflicts.length === 0 ? ( - - ) : ( -
- {conflicts.map(c => ( - - ))} -
- )} -
- )} - - {tab === "staging" && ( -
- {commits.length === 0 ? ( - - ) : ( -
- {commits.map(c => ( - - ))} -
- )} -
- )} -
-
- ); -} diff --git a/dashboard/src/components/brain/brain-canvas.tsx b/dashboard/src/components/brain/brain-canvas.tsx deleted file mode 100644 index d4d4e32..0000000 --- a/dashboard/src/components/brain/brain-canvas.tsx +++ /dev/null @@ -1,216 +0,0 @@ -"use client"; - -import { Canvas } from "@react-three/fiber"; -import { OrbitControls, Float } from "@react-three/drei"; -import { EffectComposer, Bloom } from "@react-three/postprocessing"; -import { Suspense, useMemo, useRef } from "react"; -import * as THREE from "three"; -import { useConstellation } from "@/lib/hooks/use-constellation"; -import { NEURAL } from "@/lib/utils/neural-palette"; -import { useFrame } from "@react-three/fiber"; - -function BrainParticles({ scrollProgress }: { scrollProgress: number }) { - const { data } = useConstellation(); - const meshRef = useRef(null); - const timeRef = useRef(0); - - const { count, positions, colors, scales } = useMemo(() => { - const nodes = data?.nodes || []; - // Use real data if available, otherwise generate placeholder particles - const particleCount = nodes.length > 0 ? nodes.length : 200; - const pos = new Float32Array(particleCount * 3); - const col = new Float32Array(particleCount * 3); - const scl = new Float32Array(particleCount); - - if (nodes.length > 0) { - nodes.forEach((node, i) => { - // Map to brain-like 3D positions - const angle = (i / nodes.length) * Math.PI * 2; - const radius = 2 + Math.random() * 2; - const y = (Math.random() - 0.5) * 3; - pos[i * 3] = Math.cos(angle) * radius + (Math.random() - 0.5) * 0.5; - pos[i * 3 + 1] = y; - pos[i * 3 + 2] = Math.sin(angle) * radius + (Math.random() - 0.5) * 0.5; - - // Color based on layer - const color = new THREE.Color(node.layer === "sml" ? NEURAL.sml : NEURAL.lml); - col[i * 3] = color.r; - col[i * 3 + 1] = color.g; - col[i * 3 + 2] = color.b; - - scl[i] = 0.03 + node.strength * 0.08; - }); - } else { - // Placeholder brain shape - for (let i = 0; i < particleCount; i++) { - const theta = Math.random() * Math.PI * 2; - const phi = Math.acos(2 * Math.random() - 1); - const r = 2.5 + (Math.random() - 0.5) * 1.5; - - // Brain-like shape: wider at sides, narrower at top/bottom - const xScale = 1.3; - const yScale = 1.0; - const zScale = 1.1; - - pos[i * 3] = r * Math.sin(phi) * Math.cos(theta) * xScale; - pos[i * 3 + 1] = r * Math.cos(phi) * yScale; - pos[i * 3 + 2] = r * Math.sin(phi) * Math.sin(theta) * zScale; - - const color = new THREE.Color(i % 3 === 0 ? NEURAL.episodic : i % 3 === 1 ? NEURAL.sml : NEURAL.semantic); - col[i * 3] = color.r; - col[i * 3 + 1] = color.g; - col[i * 3 + 2] = color.b; - - scl[i] = 0.02 + Math.random() * 0.06; - } - } - - return { count: particleCount, positions: pos, colors: col, scales: scl }; - }, [data]); - - const dummy = useMemo(() => new THREE.Object3D(), []); - - useFrame((_, delta) => { - if (!meshRef.current) return; - timeRef.current += delta; - - // Hemisphere split based on scroll - const splitAmount = Math.max(0, (scrollProgress - 0.15) / 0.2) * 1.5; - // Rotation slowdown as you scroll - const rotSpeed = 0.15 * (1 - scrollProgress * 0.8); - - for (let i = 0; i < count; i++) { - const x = positions[i * 3]; - const y = positions[i * 3 + 1]; - const z = positions[i * 3 + 2]; - - // Breathing effect - const breathe = 1 + Math.sin(timeRef.current * 0.5 + i * 0.1) * 0.03; - - // Split hemispheres (left/right based on x position) - const splitOffset = x > 0 ? splitAmount : -splitAmount; - - dummy.position.set( - (x + splitOffset) * breathe, - y * breathe, - z * breathe - ); - dummy.scale.setScalar(scales[i] * (1 + Math.sin(timeRef.current + i) * 0.2)); - dummy.rotation.y = timeRef.current * rotSpeed; - dummy.updateMatrix(); - meshRef.current.setMatrixAt(i, dummy.matrix); - } - meshRef.current.instanceMatrix.needsUpdate = true; - }); - - return ( - - - - - - - ); -} - -function BrainPathways({ scrollProgress }: { scrollProgress: number }) { - const { data } = useConstellation(); - const linesRef = useRef(null); - - const geometry = useMemo(() => { - const edges = data?.edges || []; - const nodes = data?.nodes || []; - if (edges.length === 0 || nodes.length === 0) return null; - - const nodeMap = new Map(nodes.map((n, i) => [n.id, i])); - const positions: number[] = []; - const colors: number[] = []; - - for (const edge of edges.slice(0, 200)) { - const si = nodeMap.get(edge.source); - const ti = nodeMap.get(edge.target); - if (si === undefined || ti === undefined) continue; - - // Generate rough 3D positions matching BrainParticles - for (const idx of [si, ti]) { - const angle = (idx / nodes.length) * Math.PI * 2; - const radius = 2 + ((idx * 7919) % 100) / 100 * 2; - const y = (((idx * 6271) % 100) / 100 - 0.5) * 3; - positions.push( - Math.cos(angle) * radius, - y, - Math.sin(angle) * radius - ); - } - - const edgeColor = new THREE.Color(edge.type === "category" ? NEURAL.episodic : NEURAL.sml); - colors.push(edgeColor.r, edgeColor.g, edgeColor.b); - colors.push(edgeColor.r, edgeColor.g, edgeColor.b); - } - - if (positions.length === 0) return null; - - const geo = new THREE.BufferGeometry(); - geo.setAttribute("position", new THREE.Float32BufferAttribute(positions, 3)); - geo.setAttribute("color", new THREE.Float32BufferAttribute(colors, 3)); - return geo; - }, [data]); - - if (!geometry) return null; - - return ( - - - - ); -} - -export function BrainCanvas({ scrollProgress }: { scrollProgress: number }) { - return ( - - - - - - - - - - - - - - - - - - - - - ); -} diff --git a/dashboard/src/components/categories/category-tree.tsx b/dashboard/src/components/categories/category-tree.tsx deleted file mode 100644 index 3b3d7c3..0000000 --- a/dashboard/src/components/categories/category-tree.tsx +++ /dev/null @@ -1,68 +0,0 @@ -"use client"; - -import { useState } from "react"; -import { ChevronDown, ChevronRight, FolderTree } from "lucide-react"; -import { StrengthIndicator } from "@/components/shared/strength-indicator"; -import type { Category } from "@/lib/types/category"; -import Link from "next/link"; - -function CategoryNode({ category, depth = 0 }: { category: Category; depth?: number }) { - const [expanded, setExpanded] = useState(depth < 1); - const hasChildren = category.children && category.children.length > 0; - - return ( -
-
- {hasChildren ? ( - - ) : ( - - )} - - - - - {category.name} - - - - {category.memory_count} - - -
- -
-
- - {hasChildren && expanded && ( -
- {category.children!.map((child) => ( - - ))} -
- )} -
- ); -} - -export function CategoryTree({ categories }: { categories: Category[] }) { - return ( -
- {categories.map((cat) => ( - - ))} -
- ); -} diff --git a/dashboard/src/components/clusters/cluster-canvas.tsx b/dashboard/src/components/clusters/cluster-canvas.tsx deleted file mode 100644 index 5d25a47..0000000 --- a/dashboard/src/components/clusters/cluster-canvas.tsx +++ /dev/null @@ -1,171 +0,0 @@ -"use client"; - -import { useRef, useEffect, useCallback, useMemo } from "react"; -import { Application, Graphics, Text, TextStyle, Container, FederatedPointerEvent } from "pixi.js"; -import { useMemories } from "@/lib/hooks/use-memories"; -import { useClusterStore } from "@/lib/stores/cluster-store"; -import { useInspectorStore } from "@/lib/stores/inspector-store"; -import { computeClusterLayout } from "@/lib/utils/cluster-layout"; -import { NEURAL } from "@/lib/utils/neural-palette"; -import type { Memory } from "@/lib/types/memory"; - -export function ClusterCanvas() { - const canvasRef = useRef(null); - const appRef = useRef(null); - const { data } = useMemories({ limit: 500 }); - const { dimension, transitioning } = useClusterStore(); - const openInspectorRef = useRef(useInspectorStore.getState().open); - - // Keep ref in sync without causing redraws - useEffect(() => { - return useInspectorStore.subscribe((s) => { - openInspectorRef.current = s.open; - }); - }, []); - - const memories = useMemo(() => data?.memories ?? [], [data]); - - const draw = useCallback(async () => { - const canvas = canvasRef.current; - if (!canvas) return; - - // Destroy existing app - if (appRef.current) { - appRef.current.destroy(true); - appRef.current = null; - } - - const app = new Application(); - await app.init({ - canvas, - resizeTo: canvas.parentElement || undefined, - backgroundColor: 0x050510, - antialias: false, - resolution: Math.min(window.devicePixelRatio || 1, 2), - autoDensity: true, - }); - appRef.current = app; - - if (memories.length === 0) { - const text = new Text({ - text: "No memories to display", - style: new TextStyle({ fontSize: 14, fill: 0x64748b, fontFamily: "system-ui" }), - }); - text.anchor.set(0.5); - text.position.set(canvas.clientWidth / 2, canvas.clientHeight / 2); - app.stage.addChild(text); - return; - } - - const { clusters, nodes } = computeClusterLayout( - memories, - dimension, - canvas.clientWidth, - canvas.clientHeight - ); - - const clustersContainer = new Container(); - const nodesContainer = new Container(); - app.stage.addChild(clustersContainer); - app.stage.addChild(nodesContainer); - - // Draw cluster boundaries - for (const cluster of clusters) { - const gfx = new Graphics(); - - // Cluster halo - gfx.circle(cluster.x, cluster.y, cluster.radius * 1.2); - gfx.fill({ color: parseInt(cluster.color.slice(1), 16), alpha: 0.03 }); - - // Cluster boundary - gfx.circle(cluster.x, cluster.y, cluster.radius); - gfx.stroke({ width: 1, color: parseInt(cluster.color.slice(1), 16), alpha: 0.15 }); - - clustersContainer.addChild(gfx); - - // Cluster label - const label = new Text({ - text: cluster.label, - style: new TextStyle({ - fontSize: 11, - fill: parseInt(cluster.color.slice(1), 16), - fontFamily: "system-ui", - fontWeight: "600", - }), - }); - label.anchor.set(0.5); - label.position.set(cluster.x, cluster.y - cluster.radius - 12); - clustersContainer.addChild(label); - - // Count label - const count = new Text({ - text: `${cluster.memories.length}`, - style: new TextStyle({ - fontSize: 9, - fill: 0x64748b, - fontFamily: "system-ui", - }), - }); - count.anchor.set(0.5); - count.position.set(cluster.x, cluster.y + cluster.radius + 8); - clustersContainer.addChild(count); - } - - // Draw memory nodes - const nodeMap = new Map(nodes.map(n => [n.id, n])); - for (const memory of memories) { - const nodePos = nodeMap.get(memory.id); - if (!nodePos) continue; - - const clusterColor = clusters[nodePos.clusterIndex]?.color || NEURAL.episodic; - const radius = 3 + memory.strength * 8; - const colorHex = parseInt(clusterColor.slice(1), 16); - - const gfx = new Graphics(); - - // Glow - gfx.circle(0, 0, radius * 2); - gfx.fill({ color: colorHex, alpha: 0.06 }); - - // Node - gfx.circle(0, 0, radius); - gfx.fill({ color: colorHex, alpha: 0.7 + memory.strength * 0.3 }); - - gfx.position.set(nodePos.x, nodePos.y); - gfx.eventMode = "static"; - gfx.cursor = "pointer"; - - gfx.on("pointerdown", (e: FederatedPointerEvent) => { - e.stopPropagation(); - openInspectorRef.current(memory.id); - }); - - gfx.on("pointerover", () => gfx.scale.set(1.5)); - gfx.on("pointerout", () => gfx.scale.set(1)); - - nodesContainer.addChild(gfx); - } - }, [memories, dimension]); - - useEffect(() => { - draw(); - return () => { - appRef.current?.destroy(true); - appRef.current = null; - }; - }, [draw]); - - return ( -
- -
- ); -} diff --git a/dashboard/src/components/clusters/cluster-toolbar.tsx b/dashboard/src/components/clusters/cluster-toolbar.tsx deleted file mode 100644 index c4819d8..0000000 --- a/dashboard/src/components/clusters/cluster-toolbar.tsx +++ /dev/null @@ -1,55 +0,0 @@ -"use client"; - -import { useClusterStore, type ClusterDimension } from "@/lib/stores/cluster-store"; -import { cn } from "@/lib/utils/format"; -import { - FolderTree, - Brain, - Layers, - Film, - Sparkles, - Gauge, - Clock, - Users, -} from "lucide-react"; -import type { LucideIcon } from "lucide-react"; - -const DIMENSIONS: { id: ClusterDimension; label: string; icon: LucideIcon }[] = [ - { id: "category", label: "Category", icon: FolderTree }, - { id: "memory_type", label: "Type", icon: Brain }, - { id: "layer", label: "Layer", icon: Layers }, - { id: "scene", label: "Scene", icon: Film }, - { id: "echo_depth", label: "Echo", icon: Sparkles }, - { id: "strength", label: "Strength", icon: Gauge }, - { id: "time", label: "Time", icon: Clock }, - { id: "profile", label: "Profile", icon: Users }, -]; - -export function ClusterToolbar() { - const { dimension, setDimension, transitioning } = useClusterStore(); - - return ( -
- {DIMENSIONS.map(({ id, label, icon: Icon }) => ( - - ))} -
- ); -} diff --git a/dashboard/src/components/conflicts/conflict-card.tsx b/dashboard/src/components/conflicts/conflict-card.tsx deleted file mode 100644 index d8e705c..0000000 --- a/dashboard/src/components/conflicts/conflict-card.tsx +++ /dev/null @@ -1,80 +0,0 @@ -"use client"; - -import { useState } from "react"; -import { resolveConflict } from "@/lib/api/conflicts"; -import type { Conflict } from "@/lib/types/conflict"; -import { timeAgo } from "@/lib/utils/format"; - -export function ConflictCard({ - conflict, - onResolved, -}: { - conflict: Conflict; - onResolved: () => void; -}) { - const [loading, setLoading] = useState(false); - - const handleResolve = async (resolution: string) => { - setLoading(true); - await resolveConflict(conflict.stash_id || conflict.id, resolution); - setLoading(false); - onResolved(); - }; - - return ( -
-
- {conflict.id} - {timeAgo(conflict.created_at)} -
- -
- {/* Existing */} -
-

- Existing -

-

- {conflict.existing_content} -

-
- {/* Proposed */} -
-

- Proposed -

-

- {conflict.proposed_content} -

-
-
- -
- - Similarity: {(conflict.similarity * 100).toFixed(0)}% - - - - -
-
- ); -} diff --git a/dashboard/src/components/constellation/graph-controls.tsx b/dashboard/src/components/constellation/graph-controls.tsx deleted file mode 100644 index 8d9cc2b..0000000 --- a/dashboard/src/components/constellation/graph-controls.tsx +++ /dev/null @@ -1,46 +0,0 @@ -"use client"; - -import { RotateCcw } from "lucide-react"; -import { useGraphStore } from "@/lib/stores/graph-store"; - -export function GraphControls() { - const { showSml, showLml, toggleSml, toggleLml, resetView } = useGraphStore(); - - return ( -
-
- -
- -
- - -
-
- ); -} diff --git a/dashboard/src/components/constellation/graph-legend.tsx b/dashboard/src/components/constellation/graph-legend.tsx deleted file mode 100644 index db66b8a..0000000 --- a/dashboard/src/components/constellation/graph-legend.tsx +++ /dev/null @@ -1,35 +0,0 @@ -"use client"; - -import { COLORS } from "@/lib/utils/colors"; - -const LEGEND_ITEMS = [ - { label: "SML Memory", color: COLORS.sml, shape: "circle" as const }, - { label: "LML Memory", color: COLORS.lml, shape: "circle" as const }, - { label: "Scene Link", color: COLORS.scene, shape: "line" as const }, - { label: "Category Link", color: COLORS.category, shape: "line" as const }, -]; - -export function GraphLegend() { - return ( -
-
- {LEGEND_ITEMS.map(({ label, color, shape }) => ( -
- {shape === "circle" ? ( - - ) : ( - - )} - {label} -
- ))} -
-
- ); -} diff --git a/dashboard/src/components/constellation/graph-renderer.ts b/dashboard/src/components/constellation/graph-renderer.ts deleted file mode 100644 index d3e9f76..0000000 --- a/dashboard/src/components/constellation/graph-renderer.ts +++ /dev/null @@ -1,134 +0,0 @@ -import { Application, Graphics, Text, TextStyle, Container, FederatedPointerEvent } from "pixi.js"; -import { COLORS } from "@/lib/utils/colors"; -import type { ConstellationNode, ConstellationEdge } from "@/lib/types/constellation"; - -interface NodePosition { - id: string; - x: number; - y: number; -} - -export class GraphRenderer { - private app: Application | null = null; - private nodesContainer: Container = new Container(); - private edgesContainer: Container = new Container(); - private nodes: ConstellationNode[] = []; - private edges: ConstellationEdge[] = []; - private nodeGraphics: Map = new Map(); - private positions: Map = new Map(); - private onNodeClick?: (id: string) => void; - - async init(canvas: HTMLCanvasElement, onNodeClick?: (id: string) => void) { - this.onNodeClick = onNodeClick; - this.app = new Application(); - await this.app.init({ - canvas, - resizeTo: canvas.parentElement || undefined, - backgroundColor: 0x050510, - antialias: true, - resolution: window.devicePixelRatio || 1, - autoDensity: true, - }); - this.app.stage.addChild(this.edgesContainer); - this.app.stage.addChild(this.nodesContainer); - } - - setData(nodes: ConstellationNode[], edges: ConstellationEdge[]) { - this.nodes = nodes; - this.edges = edges; - } - - updatePositions(positions: NodePosition[]) { - for (const p of positions) { - this.positions.set(p.id, { x: p.x, y: p.y }); - } - this.draw(); - } - - private draw() { - // Draw edges - this.edgesContainer.removeChildren(); - const edgeGfx = new Graphics(); - for (const edge of this.edges) { - const sPos = this.positions.get(edge.source); - const tPos = this.positions.get(edge.target); - if (!sPos || !tPos) continue; - const color = edge.type === "category" ? 0x7c3aed : 0x22d3ee; - edgeGfx.moveTo(sPos.x, sPos.y); - edgeGfx.lineTo(tPos.x, tPos.y); - edgeGfx.stroke({ width: 0.5, color, alpha: 0.15 }); - } - this.edgesContainer.addChild(edgeGfx); - - // Draw nodes - this.nodesContainer.removeChildren(); - this.nodeGraphics.clear(); - - for (const node of this.nodes) { - const pos = this.positions.get(node.id); - if (!pos) continue; - - const radius = 4 + node.strength * 10; - const colorHex = - node.layer === "sml" - ? parseInt(COLORS.sml.slice(1), 16) - : parseInt(COLORS.lml.slice(1), 16); - - const gfx = new Graphics(); - - // Glow halo - gfx.circle(0, 0, radius * 2); - gfx.fill({ color: colorHex, alpha: 0.08 }); - - // Main node - gfx.circle(0, 0, radius); - gfx.fill({ color: colorHex, alpha: 0.85 }); - - gfx.position.set(pos.x, pos.y); - gfx.eventMode = "static"; - gfx.cursor = "pointer"; - - gfx.on("pointerdown", (e: FederatedPointerEvent) => { - e.stopPropagation(); - this.onNodeClick?.(node.id); - }); - - gfx.on("pointerover", () => { - gfx.scale.set(1.3); - }); - - gfx.on("pointerout", () => { - gfx.scale.set(1); - }); - - this.nodesContainer.addChild(gfx); - this.nodeGraphics.set(node.id, gfx); - - // Label for larger nodes - if (node.strength > 0.5 && node.label) { - const label = new Text({ - text: node.label.slice(0, 20), - style: new TextStyle({ - fontSize: 9, - fill: 0x94a3b8, - fontFamily: "system-ui", - }), - }); - label.anchor.set(0.5, 0); - label.position.set(pos.x, pos.y + radius + 3); - this.nodesContainer.addChild(label); - } - } - } - - highlightNode(id: string | null) { - for (const [nodeId, gfx] of this.nodeGraphics) { - gfx.alpha = id === null || nodeId === id ? 1 : 0.3; - } - } - - destroy() { - this.app?.destroy(true); - this.app = null; - } -} diff --git a/dashboard/src/components/constellation/memory-graph.tsx b/dashboard/src/components/constellation/memory-graph.tsx deleted file mode 100644 index d6a23a1..0000000 --- a/dashboard/src/components/constellation/memory-graph.tsx +++ /dev/null @@ -1,86 +0,0 @@ -"use client"; - -import { useRef, useEffect, useCallback } from "react"; -import { GraphRenderer } from "./graph-renderer"; -import { useConstellation } from "@/lib/hooks/use-constellation"; -import { useInspectorStore } from "@/lib/stores/inspector-store"; -import { useGraphStore } from "@/lib/stores/graph-store"; - -export function MemoryGraph() { - const canvasRef = useRef(null); - const rendererRef = useRef(null); - const workerRef = useRef(null); - const { data } = useConstellation(); - const openInspector = useInspectorStore((s) => s.open); - const { showSml, showLml } = useGraphStore(); - - const handleNodeClick = useCallback( - (id: string) => { - openInspector(id); - }, - [openInspector] - ); - - useEffect(() => { - if (!canvasRef.current || !data) return; - - const canvas = canvasRef.current; - const renderer = new GraphRenderer(); - rendererRef.current = renderer; - - // Filter nodes by layer visibility - const filteredNodes = (data.nodes || []).filter((n) => { - if (n.layer === "sml" && !showSml) return false; - if (n.layer === "lml" && !showLml) return false; - return true; - }); - - const filteredIds = new Set(filteredNodes.map((n) => n.id)); - const filteredEdges = (data.edges || []).filter( - (e) => filteredIds.has(e.source) && filteredIds.has(e.target) - ); - - renderer.init(canvas, handleNodeClick).then(() => { - renderer.setData(filteredNodes, filteredEdges); - - // Start force layout in worker - const worker = new Worker( - new URL("@/workers/force-layout.worker.ts", import.meta.url) - ); - workerRef.current = worker; - - worker.postMessage({ - type: "init", - nodes: filteredNodes.map((n) => ({ - id: n.id, - layer: n.layer, - strength: n.strength, - })), - edges: filteredEdges.map((e) => ({ - source: e.source, - target: e.target, - type: e.type, - })), - width: canvas.clientWidth, - height: canvas.clientHeight, - }); - - worker.onmessage = (e) => { - renderer.updatePositions(e.data.nodes); - }; - }); - - return () => { - workerRef.current?.terminate(); - rendererRef.current?.destroy(); - }; - }, [data, showSml, showLml, handleNodeClick]); - - return ( - - ); -} diff --git a/dashboard/src/components/dashboard/categories-bar.tsx b/dashboard/src/components/dashboard/categories-bar.tsx deleted file mode 100644 index f26318c..0000000 --- a/dashboard/src/components/dashboard/categories-bar.tsx +++ /dev/null @@ -1,62 +0,0 @@ -"use client"; - -import { - BarChart, - Bar, - XAxis, - YAxis, - ResponsiveContainer, - Tooltip, -} from "recharts"; -import { COLORS } from "@/lib/utils/colors"; - -export function CategoriesBar({ - categories, -}: { - categories: Record; -}) { - const data = Object.entries(categories) - .sort((a, b) => b[1] - a[1]) - .slice(0, 8) - .map(([name, count]) => ({ name, count })); - - if (data.length === 0) { - return ( -
-

Top Categories

-

No categories yet

-
- ); - } - - return ( -
-

Top Categories

-
- - - - - - - - -
-
- ); -} diff --git a/dashboard/src/components/dashboard/decay-sparkline.tsx b/dashboard/src/components/dashboard/decay-sparkline.tsx deleted file mode 100644 index 2bf13c8..0000000 --- a/dashboard/src/components/dashboard/decay-sparkline.tsx +++ /dev/null @@ -1,69 +0,0 @@ -"use client"; - -import { - AreaChart, - Area, - XAxis, - YAxis, - ResponsiveContainer, - Tooltip, -} from "recharts"; -import { COLORS } from "@/lib/utils/colors"; -import type { DecayLogEntry } from "@/lib/api/decay"; - -export function DecaySparkline({ entries }: { entries: DecayLogEntry[] }) { - const data = entries.map((e) => ({ - time: new Date(e.timestamp).toLocaleDateString("en-US", { - month: "short", - day: "numeric", - }), - decayed: e.decayed, - forgotten: e.forgotten, - promoted: e.promoted, - })); - - if (data.length === 0) { - return ( -
-

Decay History

-

No decay data yet

-
- ); - } - - return ( -
-

Decay History

-
- - - - - - - - - - - - - - -
-
- ); -} diff --git a/dashboard/src/components/dashboard/layer-donut.tsx b/dashboard/src/components/dashboard/layer-donut.tsx deleted file mode 100644 index 1a8651a..0000000 --- a/dashboard/src/components/dashboard/layer-donut.tsx +++ /dev/null @@ -1,61 +0,0 @@ -"use client"; - -import { PieChart, Pie, Cell, ResponsiveContainer, Tooltip, Legend } from "recharts"; -import { COLORS } from "@/lib/utils/colors"; - -export function LayerDonut({ - smlCount, - lmlCount, -}: { - smlCount: number; - lmlCount: number; -}) { - const data = [ - { name: "SML", value: smlCount }, - { name: "LML", value: lmlCount }, - ]; - const colors = [COLORS.sml, COLORS.lml]; - - return ( -
-

Layer Distribution

-
- - - - {data.map((_, i) => ( - - ))} - - - ( - {value} - )} - /> - - -
-
- ); -} diff --git a/dashboard/src/components/dashboard/stat-card.tsx b/dashboard/src/components/dashboard/stat-card.tsx deleted file mode 100644 index 7a14dd3..0000000 --- a/dashboard/src/components/dashboard/stat-card.tsx +++ /dev/null @@ -1,44 +0,0 @@ -"use client"; - -import type { LucideIcon } from "lucide-react"; - -export function StatCard({ - label, - value, - icon: Icon, - color = "#7c3aed", - badge, -}: { - label: string; - value: number | string; - icon: LucideIcon; - color?: string; - badge?: string; -}) { - return ( -
-
-
- -
- {badge && ( - - {badge} - - )} -
-

{value}

-

{label}

-
- ); -} diff --git a/dashboard/src/components/dashboard/stat-cards-row.tsx b/dashboard/src/components/dashboard/stat-cards-row.tsx deleted file mode 100644 index 6eaca29..0000000 --- a/dashboard/src/components/dashboard/stat-cards-row.tsx +++ /dev/null @@ -1,70 +0,0 @@ -"use client"; - -import { - Brain, - Zap, - Shield, - FolderTree, - AlertTriangle, - GitBranch, -} from "lucide-react"; -import { StatCard } from "./stat-card"; -import { COLORS } from "@/lib/utils/colors"; - -export function StatCardsRow({ - totalMemories, - smlCount, - lmlCount, - categoryCount, - conflictCount, - pendingCount, -}: { - totalMemories: number; - smlCount: number; - lmlCount: number; - categoryCount: number; - conflictCount: number; - pendingCount: number; -}) { - return ( -
- - - - - 0 ? String(conflictCount) : undefined} - /> - -
- ); -} diff --git a/dashboard/src/components/hippocampus/forgetting-dashboard.tsx b/dashboard/src/components/hippocampus/forgetting-dashboard.tsx deleted file mode 100644 index 9844169..0000000 --- a/dashboard/src/components/hippocampus/forgetting-dashboard.tsx +++ /dev/null @@ -1,98 +0,0 @@ -"use client"; - -import { NEURAL } from "@/lib/utils/neural-palette"; -import { useDecayLog } from "@/lib/hooks/use-decay-log"; -import { useMemo } from "react"; - -function GaugeMeter({ - label, - description, - value, - color, -}: { - label: string; - description: string; - value: number; - color: string; -}) { - const angle = value * 180; - const circumference = Math.PI * 50; - const dashOffset = circumference - (value * circumference); - - return ( -
-
- - {/* Background arc */} - - {/* Value arc */} - - - - {(value * 100).toFixed(0)}% - -
-

{label}

-

{description}

-
- ); -} - -export function ForgettingDashboard() { - const { data } = useDecayLog(); - const entries = data?.entries ?? []; - - const stats = useMemo(() => { - if (entries.length === 0) return { interference: 0, redundancy: 0, homeostasis: 0 }; - const latest = entries[entries.length - 1]; - const total = (latest.decayed + latest.forgotten + latest.promoted) || 1; - return { - interference: latest.forgotten / total, - redundancy: latest.decayed / total, - homeostasis: latest.promoted / total, - }; - }, [entries]); - - return ( -
-

Forgetting Mechanisms

-
- - - -
-
- ); -} diff --git a/dashboard/src/components/hippocampus/scene-corridor.tsx b/dashboard/src/components/hippocampus/scene-corridor.tsx deleted file mode 100644 index f52b094..0000000 --- a/dashboard/src/components/hippocampus/scene-corridor.tsx +++ /dev/null @@ -1,71 +0,0 @@ -"use client"; - -import { useScenes } from "@/lib/hooks/use-scenes"; -import { NEURAL } from "@/lib/utils/neural-palette"; -import { formatDateTime, timeAgo } from "@/lib/utils/format"; -import { Film } from "lucide-react"; - -export function SceneCorridor() { - const { data } = useScenes(); - const scenes = data?.scenes ?? []; - - if (scenes.length === 0) { - return ( -
-

No scenes recorded yet.

-
- ); - } - - return ( -
-
- {scenes.map((scene, i) => ( -
-
- - - {scene.title || `Scene ${scene.id.slice(0, 8)}`} - -
- - {scene.topic && ( -

- {scene.topic} -

- )} - - {scene.summary && ( -

- {scene.summary} -

- )} - -
- {scene.memory_count} memories - {timeAgo(scene.start_time)} -
- - {/* Timeline bar */} -
-
-
-
- ))} -
-
- ); -} diff --git a/dashboard/src/components/hippocampus/sleep-visualizer.tsx b/dashboard/src/components/hippocampus/sleep-visualizer.tsx deleted file mode 100644 index 551f357..0000000 --- a/dashboard/src/components/hippocampus/sleep-visualizer.tsx +++ /dev/null @@ -1,114 +0,0 @@ -"use client"; - -import { NEURAL } from "@/lib/utils/neural-palette"; -import { useStats } from "@/lib/hooks/use-stats"; - -export function SleepVisualizer() { - const { data: stats } = useStats(); - const sml = stats?.sml_count ?? 0; - const lml = stats?.lml_count ?? 0; - const total = sml + lml || 1; - - return ( -
-

Sleep Cycle — Consolidation Flow

- -
- {/* SML pool */} -
-
-
- {sml} -
-
-

SML

-

Short-term

-
- - {/* Flow arrows */} -
-
-
- - - -
-

CONSOLIDATE

-
- - - -
-
-

DEMOTE

-
- - {/* Hippocampus */} -
-
-
- HPC -
-
-

Hippocampus

-

Processing

-
- - {/* Flow arrows */} -
-
-
- - - -
-

PROMOTE

-
- - {/* LML pool */} -
-
-
- {lml} -
-
-

LML

-

Long-term

-
-
- - {/* Progress bar */} -
-
- Memory Distribution - {((lml / total) * 100).toFixed(0)}% consolidated -
-
-
-
-
-
-
- ); -} diff --git a/dashboard/src/components/hippocampus/trace-cascade-viz.tsx b/dashboard/src/components/hippocampus/trace-cascade-viz.tsx deleted file mode 100644 index ea124ca..0000000 --- a/dashboard/src/components/hippocampus/trace-cascade-viz.tsx +++ /dev/null @@ -1,89 +0,0 @@ -"use client"; - -import { NEURAL } from "@/lib/utils/neural-palette"; -import { useMemories } from "@/lib/hooks/use-memories"; -import { useMemo } from "react"; - -export function TraceCascadeViz() { - const { data } = useMemories({ limit: 200 }); - const memories = data?.memories ?? []; - - const traceStats = useMemo(() => { - let fastSum = 0, midSum = 0, slowSum = 0, count = 0; - for (const m of memories) { - if (m.s_fast !== undefined || m.s_mid !== undefined || m.s_slow !== undefined) { - fastSum += m.s_fast ?? 0; - midSum += m.s_mid ?? 0; - slowSum += m.s_slow ?? 0; - count++; - } - } - if (count === 0) return null; - return { - avgFast: fastSum / count, - avgMid: midSum / count, - avgSlow: slowSum / count, - count, - }; - }, [memories]); - - if (!traceStats) { - return ( -
-

Multi-Trace Cascade

-

- No trace data available. Enable CLS distillation features. -

-
- ); - } - - return ( -
-

Multi-Trace Cascade

-

- Average trace strengths across {traceStats.count} memories -

- - {/* Cascade visualization */} -
- {[ - { label: "Fast", value: traceStats.avgFast, color: NEURAL.sFast, desc: "Immediate" }, - { label: "Mid", value: traceStats.avgMid, color: NEURAL.sMid, desc: "Session" }, - { label: "Slow", value: traceStats.avgSlow, color: NEURAL.sSlow, desc: "Consolidated" }, - ].map(({ label, value, color, desc }) => ( -
- {(value * 100).toFixed(0)}% -
-
-
-

{label}

-

{desc}

-
- ))} -
- - {/* Flow arrows */} -
- s_fast -
- - s_mid -
- - s_slow -
-
- ); -} diff --git a/dashboard/src/components/layout/neural-sidebar.tsx b/dashboard/src/components/layout/neural-sidebar.tsx deleted file mode 100644 index 4c551d2..0000000 --- a/dashboard/src/components/layout/neural-sidebar.tsx +++ /dev/null @@ -1,90 +0,0 @@ -"use client"; - -import Link from "next/link"; -import { usePathname } from "next/navigation"; -import { - Brain, - Scan, - Cable, - Moon, - Users, -} from "lucide-react"; -import { cn } from "@/lib/utils/format"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -const NAV_ITEMS = [ - { href: "/", label: "Brain", icon: Brain }, - { href: "/cortex", label: "Cortex", icon: Scan }, - { href: "/synapses", label: "Synapses", icon: Cable }, - { href: "/hippocampus", label: "Hippocampus", icon: Moon }, - { href: "/profiles", label: "Profiles", icon: Users }, -]; - -export function NeuralSidebar() { - const pathname = usePathname(); - - return ( - - ); -} diff --git a/dashboard/src/components/layout/sidebar.tsx b/dashboard/src/components/layout/sidebar.tsx deleted file mode 100644 index 1823089..0000000 --- a/dashboard/src/components/layout/sidebar.tsx +++ /dev/null @@ -1,68 +0,0 @@ -"use client"; - -import Link from "next/link"; -import { usePathname } from "next/navigation"; -import { - LayoutDashboard, - Sparkles, - List, - Film, - FolderTree, - Users, - AlertTriangle, - GitBranch, -} from "lucide-react"; -import { cn } from "@/lib/utils/format"; - -const NAV_ITEMS = [ - { href: "/dashboard", label: "Dashboard", icon: LayoutDashboard }, - { href: "/constellation", label: "Constellation", icon: Sparkles }, - { href: "/memories", label: "Memories", icon: List }, - { href: "/scenes", label: "Scenes", icon: Film }, - { href: "/categories", label: "Categories", icon: FolderTree }, - { href: "/profiles", label: "Profiles", icon: Users }, - { href: "/conflicts", label: "Conflicts", icon: AlertTriangle }, - { href: "/staging", label: "Staging", icon: GitBranch }, -]; - -export function Sidebar() { - const pathname = usePathname(); - - return ( - - ); -} diff --git a/dashboard/src/components/layout/top-bar.tsx b/dashboard/src/components/layout/top-bar.tsx deleted file mode 100644 index 89500b7..0000000 --- a/dashboard/src/components/layout/top-bar.tsx +++ /dev/null @@ -1,45 +0,0 @@ -"use client"; - -import { Search } from "lucide-react"; -import { useFilterStore } from "@/lib/stores/filter-store"; -import { useCallback, useState } from "react"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -export function TopBar() { - const setSearchQuery = useFilterStore((s) => s.setSearchQuery); - const [value, setValue] = useState(""); - - const handleSubmit = useCallback( - (e: React.FormEvent) => { - e.preventDefault(); - setSearchQuery(value); - }, - [value, setSearchQuery] - ); - - return ( -
-
- - setValue(e.target.value)} - className="w-full rounded-lg py-1.5 pl-9 pr-3 text-sm placeholder:text-slate-500 focus:outline-none focus:ring-1" - style={{ - backgroundColor: NEURAL.synapse, - color: '#e2e8f0', - border: `1px solid rgba(124, 58, 237, 0.12)`, - }} - /> - -
- ); -} diff --git a/dashboard/src/components/memories/memory-filters.tsx b/dashboard/src/components/memories/memory-filters.tsx deleted file mode 100644 index d004733..0000000 --- a/dashboard/src/components/memories/memory-filters.tsx +++ /dev/null @@ -1,22 +0,0 @@ -"use client"; - -import { useFilterStore } from "@/lib/stores/filter-store"; - -export function MemoryFilters() { - const { layer, setLayer } = useFilterStore(); - - return ( -
- - -
- ); -} diff --git a/dashboard/src/components/memories/memory-table.tsx b/dashboard/src/components/memories/memory-table.tsx deleted file mode 100644 index f74ccbd..0000000 --- a/dashboard/src/components/memories/memory-table.tsx +++ /dev/null @@ -1,72 +0,0 @@ -"use client"; - -import { LayerBadge } from "@/components/shared/layer-badge"; -import { StrengthIndicator } from "@/components/shared/strength-indicator"; -import { CategoryPill } from "@/components/shared/category-pill"; -import { useInspectorStore } from "@/lib/stores/inspector-store"; -import { truncate, timeAgo } from "@/lib/utils/format"; -import type { Memory } from "@/lib/types/memory"; - -export function MemoryTable({ memories }: { memories: Memory[] }) { - const open = useInspectorStore((s) => s.open); - - return ( -
- - - - - - - - - - - - {memories.map((mem) => ( - open(mem.id)} - className="cursor-pointer hover:bg-gray-50 transition-colors" - > - - - - - - - ))} - -
- Content - - Layer - - Strength - - Categories - - Created -
- {truncate(mem.content, 100)} - - - - - -
- {(mem.categories || []).slice(0, 3).map((cat) => ( - - ))} - {(mem.categories || []).length > 3 && ( - - +{mem.categories.length - 3} - - )} -
- 		- {timeAgo(mem.created_at)} -
-
- ); -} diff --git a/dashboard/src/components/memory-inspector/category-tab.tsx b/dashboard/src/components/memory-inspector/category-tab.tsx deleted file mode 100644 index 856da81..0000000 --- a/dashboard/src/components/memory-inspector/category-tab.tsx +++ /dev/null @@ -1,26 +0,0 @@ -"use client"; - -import { CategoryPill } from "@/components/shared/category-pill"; -import type { Memory } from "@/lib/types/memory"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -export function CategoryTab({ memory }: { memory: Memory }) { - const categories = memory.categories || []; - - if (categories.length === 0) { - return

No categories assigned.

; - } - - return ( -
-
-

Categories

-
- {categories.map((cat) => ( - - ))} -
-
-
- ); -} diff --git a/dashboard/src/components/memory-inspector/echo-tab.tsx b/dashboard/src/components/memory-inspector/echo-tab.tsx deleted file mode 100644 index cf2772b..0000000 --- a/dashboard/src/components/memory-inspector/echo-tab.tsx +++ /dev/null @@ -1,127 +0,0 @@ -"use client"; - -import type { Memory } from "@/lib/types/memory"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -function Section({ title, children }: { title: string; children: React.ReactNode }) { - return ( -
-

{title}

- {children} -
- ); -} - -function TagList({ items }: { items: string[] }) { - return ( -
- {items.map((item, i) => ( - - {item} - - ))} -
- ); -} - -function StringList({ items }: { items: string[] }) { - return ( -
    - {items.map((item, i) => ( -
  • - {item} -
    • - ))} -
- ); -} - -export function EchoTab({ memory }: { memory: Memory }) { - const meta = memory.metadata || {}; - const depth = meta.echo_depth || "none"; - const paraphrases = meta.echo_paraphrases || []; - const keywords = meta.echo_keywords || []; - const implications = meta.echo_implications || []; - const questions = meta.echo_questions || []; - const importance = meta.echo_importance; - - const hasEchoData = - paraphrases.length > 0 || - keywords.length > 0 || - implications.length > 0 || - questions.length > 0; - - return ( -
- {/* Echo depth badge */} -
- Echo Depth - - {depth} - - {importance !== undefined && ( - <> - Importance -
-
-
-
- - {((importance as number) * 100).toFixed(0)}% - -
- - )} -
- - {!hasEchoData && ( -

No echo encoding data available.

- )} - - {paraphrases.length > 0 && ( -
- -
- )} - - {keywords.length > 0 && ( -
- -
- )} - - {implications.length > 0 && ( -
- -
- )} - - {questions.length > 0 && ( -
- -
- )} -
- ); -} diff --git a/dashboard/src/components/memory-inspector/fadem-tab.tsx b/dashboard/src/components/memory-inspector/fadem-tab.tsx deleted file mode 100644 index def9a6e..0000000 --- a/dashboard/src/components/memory-inspector/fadem-tab.tsx +++ /dev/null @@ -1,199 +0,0 @@ -"use client"; - -import { LayerBadge } from "@/components/shared/layer-badge"; -import { StrengthIndicator } from "@/components/shared/strength-indicator"; -import { - decayProjectionSeries, - FORGET_THRESHOLD, - PROMOTE_THRESHOLD, - PROMOTE_ACCESS_THRESHOLD, -} from "@/lib/utils/decay-math"; -import { timeAgo } from "@/lib/utils/format"; -import { COLORS } from "@/lib/utils/colors"; -import { NEURAL } from "@/lib/utils/neural-palette"; -import type { Memory } from "@/lib/types/memory"; -import { - AreaChart, - Area, - XAxis, - YAxis, - ReferenceLine, - ResponsiveContainer, - Tooltip, -} from "recharts"; - -function StrengthRing({ strength, layer }: { strength: number; layer: string }) { - const pct = strength * 100; - const circumference = 2 * Math.PI * 40; - const offset = circumference - (pct / 100) * circumference; - const color = layer === "sml" ? COLORS.sml : COLORS.lml; - - return ( -
- - - - - - {Math.round(pct)}% - -
- ); -} - -function ProgressBar({ value, max, label }: { value: number; max: number; label: string }) { - const pct = Math.min((value / max) * 100, 100); - const met = value >= max; - return ( -
-
- {label} - - {typeof value === 'number' && value < 1 ? value.toFixed(2) : value} / {max} - -
-
-
-
-
- ); -} - -export function FadeMemTab({ memory }: { memory: Memory }) { - const series = decayProjectionSeries( - memory.strength, - memory.access_count, - memory.layer - ); - - return ( -
- {/* Strength ring + metadata */} -
- -
-
- -
-

- Accessed {memory.access_count} time{memory.access_count !== 1 ? "s" : ""} -

- {memory.last_accessed && ( -

- Last accessed {timeAgo(memory.last_accessed)} -

- )} -
-
- - {/* 30-day decay projection */} -
-

- 30-Day Decay Projection -

-
- - - - - - - - - - - [`${(Number(v) * 100).toFixed(1)}%`, "Strength"]} - labelFormatter={(l) => `Day ${l}`} - /> - - - - - -
-
- - Forget ({FORGET_THRESHOLD}) - - - Promote ({PROMOTE_THRESHOLD}) - -
-
- - {/* Promotion pathway */} - {memory.layer === "sml" && ( -
-

- Promotion Pathway (SML → LML) -

-
- - -
-
- )} - - {/* Current strength bar */} -
-

Current Strength

- -
-
- ); -} diff --git a/dashboard/src/components/memory-inspector/history-timeline.tsx b/dashboard/src/components/memory-inspector/history-timeline.tsx deleted file mode 100644 index 37ff2b5..0000000 --- a/dashboard/src/components/memory-inspector/history-timeline.tsx +++ /dev/null @@ -1,55 +0,0 @@ -"use client"; - -import { formatDateTime } from "@/lib/utils/format"; -import type { MemoryHistoryEntry } from "@/lib/types/memory"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -const EVENT_COLORS: Record = { - CREATE: NEURAL.success, - DECAY: NEURAL.lml, - PROMOTE: NEURAL.lml, - DEMOTE: NEURAL.sml, - ACCESS: "#60a5fa", - UPDATE: NEURAL.episodic, - DELETE: NEURAL.conflict, -}; - -export function HistoryTimeline({ entries }: { entries: MemoryHistoryEntry[] }) { - if (entries.length === 0) { - return

No history available.

; - } - - return ( -
-
-
    - {entries.map((entry, i) => ( -
  • -
    -

    {entry.event}

    -

    - {formatDateTime(entry.timestamp)} -

    - {entry.details && ( - 
    -                {JSON.stringify(entry.details, null, 2)}
-
    - )} -
    • - ))} -
-
- ); -} diff --git a/dashboard/src/components/memory-inspector/inspector-actions.tsx b/dashboard/src/components/memory-inspector/inspector-actions.tsx deleted file mode 100644 index 47ed48d..0000000 --- a/dashboard/src/components/memory-inspector/inspector-actions.tsx +++ /dev/null @@ -1,161 +0,0 @@ -"use client"; - -import { useState } from "react"; -import { ArrowUp, ArrowDown, Trash2, Pencil } from "lucide-react"; -import { promoteMemory, demoteMemory, deleteMemory, updateMemory } from "@/lib/api/memories"; -import { useInspectorStore } from "@/lib/stores/inspector-store"; -import type { Memory } from "@/lib/types/memory"; -import type { KeyedMutator } from "swr"; -import { NEURAL } from "@/lib/utils/neural-palette"; - -export function InspectorActions({ - memory, - onMutate, -}: { - memory: Memory; - onMutate: KeyedMutator; -}) { - const close = useInspectorStore((s) => s.close); - const [editing, setEditing] = useState(false); - const [editContent, setEditContent] = useState(memory.content); - const [confirmDelete, setConfirmDelete] = useState(false); - const [loading, setLoading] = useState(false); - - const handlePromote = async () => { - setLoading(true); - await promoteMemory(memory.id); - await onMutate(); - setLoading(false); - }; - - const handleDemote = async () => { - setLoading(true); - await demoteMemory(memory.id); - await onMutate(); - setLoading(false); - }; - - const handleDelete = async () => { - setLoading(true); - await deleteMemory(memory.id); - setLoading(false); - close(); - }; - - const handleSaveEdit = async () => { - setLoading(true); - await updateMemory(memory.id, { content: editContent }); - await onMutate(); - setEditing(false); - setLoading(false); - }; - - if (editing) { - return ( -
-