terminal ui for qmd

Shared memory for AI-powered engineering teams. Captures, indexes, and recalls conversations across Claude Code, Cursor, Codex, and other agents. Share team knowledge through git — no cloud required.

Introduction to Reproducible Publications with Quarto

QXMD: Non-adiabatic Quantum Molecular Dynamics Simulation Engine

Lightweight local search engine for AI agents in Rust.

Optimized file search and semantic indexing for large codebases in Claude Code

Persistent memory extension for pi with daily logs, scratchpad, and optional qmd‑powered semantic search.

Local AI session capture and semantic search for Claude Code. Records sessions as markdown, attaches them to commits via git notes, and indexes into QMD for warm resume and project memory.

Project Example for the Lesson: Introduction to Reproducible Publications with Quarto

My automated CV by Quarto + Typst

A standalone BMAD module that transforms code repositories, documentation websites, and developer discourse into agentskills.io-compliant, version-pinned, provenance-backed agent skills.

Package for running linters, static type checkers and code analysis tools on python code in quarto (.qmd) files.

Persistent knowledge capture for Claude Code. Auto-triages sessions into searchable Zettelkasten notes with epistemic metadata. Local-only, markdown + git.

Historian — Manage memory for OpenCode via Recall, Remember & Forget • Powered by qmd

AI Agent Fleet Memory System — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-time reflection, MCP server.

Obsidian plugin that integrates with QMD local CLI search tool - https://github.com/tobi/qmd

Give Claude Code persistent memory. Every session auto-exports, gets indexed with semantic search, and future sessions can /recall any past conversation.

in house classical MD software

致敬原作: qmd (https://github.com/tobi/qmd) - TypeScript实现的混合搜索引擎 Python重写版本 - 专为Windows稳定性优化和更高质量的检索体验而生 为什么重写？ 原版qmd使用node-llama-cpp在Windows上存在严重的稳定性问题（随机崩溃）。本项目改用transformers + PyTorch技术栈