Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

Atari Lynx emulator, debugger, and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

PC Engine / TurboGrafx-16 / SuperGrafx / PCE CD-ROM² emulator, debugger, and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

CLI for exploring Spot instance pricing across AWS, GCP and Azure. Inspect Spot instance types, savings, price, and AWS interruption frequency — offline, from embedded data.

A super light-weight embedded code search engine CLI (AST based) that just works - improves speed and efficiency for coding agent 🌟 Star if you like it!

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

Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

Official Jina AI Remote MCP Server

A semantic search engine for files and code.

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Universal memory runtime for AI agents

Semantic codebase indexing and search for OpenCode, Claude, Codex, Pi, Jcode, and MCP hosts. Powered by Rust and tree-sitter.

Your coding agent starts every session blank. Rekal is the memory your team is missing

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

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

AI semantic search for Zotero, with a built-in MCP server for AI agents (Claude Code, Codex). Find papers by meaning. 100% local and private.

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

Shared, persistent memory for AI agents. Self-hosted MCP server with semantic search, vector RAG, and live updates. Works with Claude, Cursor, Codex, and any MCP client.

Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.