#retrieval

AccInt - local-first MCP Work Model for coding agents that learns from real outcomes.

Local-first memory for Claude Code — remembers your decisions and the why, reloads the relevant slice every session. No API key.

Nokori (残り) — behavioral memory layer for Claude Code and Cursor. Turns your corrections into rules that come back when it counts. 经验留下的痕迹，比记忆更深。

A personal memory layer for your AI tools. Intelligent authoring (gap detection, self-enriching graph, session-synthesis loop) + measurably good retrieval (94.9% blind Cov@10, sub-ms latency). Domain-agnostic framework — works for any context you want to track. MCP-native, Claude-Code-first, works with Cursor/Continue/Cline/OpenAI/Gemini.

AI research chatbot with dynamic query planning, parallel search, and RAGAS-evaluated grounded answers.

AI knowledge base & RAG QA system with gold-label retrieval evaluation (Spring Boot 3 + Vue 3): hybrid keyword/vector search, RRF fusion, rerank, four-way Hit@3/MRR comparison

Apex-relevance subgraph retrieval for AI agents — feed your LLM the most relevant slice of a knowledge graph, within a token budget.

A context database for LLMs: structured storage and hybrid retrieval (BM25 + vectors, RRF-fused, token-budgeted) over SQLite, exposed to Claude as an MCP server

A searchable, self-maintaining catalog over any corpus of tools, skills, agents, and components.