Code Retrieval

Code intelligence for agents: find the code that matters and keep your context window and tokens lean.

Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 96.2% fewer tokens per lookup on average than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client. Free for non-commercial use; commercial use needs a one-time license.

Milvus & Zilliz-powered Claude Desktop and Cursor MCP server for long-term agent memory, doc retrieval, and code knowledge graph querying.

A structural code search engine for Al agents.

Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.

CodeRAG is an AI-powered tool for real-time codebase querying and augmentation using OpenAI and vector search.

On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.

台灣法律 MCP 伺服器 + CLI（免費、免金鑰，連接時登入法律偵探帳號）：2,277 萬筆裁判書、行政函釋、憲法法庭裁判，附引用查核。Free Taiwan legal MCP server for Claude/ChatGPT/Codex: sign in with a Dr.Legal account, bring your own LLM, retrieval-only.

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

Local-first AI agent platform for desktop and CLI. Chat, RAG search, multi-step Plans workflows, MCP tools, and Agents integration. Supports OpenAI, Claude, Gemini, Grok, Ollama, LM Studio and more

REQL – A graph-native code index engine for agents. Scans Python, TypeScript, Go, Rust, Java, and 30+ languages to build a property graph with deterministic retrieval, no mandatory LLM calls, and bounded context for AI coding assistants.

Find code by asking what it does. A CLI for coding agents that uses Jev to discover relevant files and source context.

📜 An MCP server for conversation history search and retrieval in Claude Code

🧠 Production-grade memory sidecar for AI agents — gbrain + Hindsight + 3-tier recall. Agent-agnostic, battle-tested. | 生产级外挂记忆系统，兼容Hermes/Claude/Cursor等任意AI智能体

A code repository indexing tool to supercharge your LLM experience.

Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST API and MCP support for AI clients.

AI pair programming in your terminal — one static binary, sub-ms startup, any model

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.

AI pair programming in your terminal — one static binary, sub-ms startup, any model

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).