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Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and ot

Python·MIT·★ 24·No key

🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎

Go·MIT·★ 155·No key

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Skill·Apache-2.0·★ 168·No key

Your AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.

Node.js·MIT·★ 19·No key

Shared memory bus for MCP-compatible agents with permissions, subscriptions, and optional payments.

Python·MIT·★ 22·No key

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Long-term memory via Model Context Protocol with semantic search, Git sync, and team collaboration.

Node.js·MIT·★ 2·Few stars·Needs a key

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector

Node.js·MIT·★ 29·No key

Search and load AI datasets, prompts and few-shot contexts from the ContexteTech catalogue.

Python·No license·Few stars·No key

Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.

Node.js·MIT·★ 5·No key

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style

Node.js·MIT·★ 2.0k·No key

Semantic code retrieval engine for AI coding agents, with hybrid search, AST-aware chunking, graph expansion, and token-aware context packing.

Node.js·MIT·★ 2·Few stars·No key

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

Skill·MIT·★ 13k·No key

🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph st

Skill·MIT·★ 27·No key

Pull, don't push: exact document sections on demand for LLM agents. MCP server + zero-dependency Python core over SQLite FTS5.

Python·MIT·Few stars·No key

Fetches current, version-specific library documentation and code examples for prompts.

Official·Node.js·MIT·★ 63k·Needs Context7

Local-first context ingestion and retrieval for AI tools. SQLite + embeddings + MCP server for Cursor & Claude.

Skill·AGPL-3.0·★ 42·No key

Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project languag

Official·Skill·MIT·★ 40k in collection·No key

Enhanced fork of claude-context with stability fixes, improved sync, and better reliability for semantic code search

Skill·MIT·★ 4·Few stars·No key

MCP server: repo map, code search, and token-aware context packs for AI coding agents

Node.js·MIT·★ 105·No key

Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK

Official·Skill·MIT·★ 40k in collection·No key

An open-source context evaluator for AI agents.

Python·MIT·★ 1·Few stars·No key

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

Python·MIT·★ 433·No key