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

🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.

Convert AI coding agent sessions (Claude Code, Cursor, Codex, Gemini, OpenCode, Kimi Code, Hermes) into self-contained, embeddable HTML replays

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.

Tool-to-Agent Protocol: tools can be smart without embedded LLM calls.

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

Vlad's Playbook — a 48-chapter operator field manual where every artifact is live, clickable, and forwardable. 31 interactive widgets, a self-updating AI radar, hand-verified model leaderboards, embedded case studies — and the repo runs the agent workflow the book teaches.

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 code repository indexing tool to supercharge your LLM experience.

A semantic search engine for files and code.

A complete catalog of Agent Skills (agentskills.io) for Zephyr RTOS development.

Persistent memory for Claude Code. Your AI never starts from scratch again.

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

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

An MCP Multimodal AI Agent with eyes and ears!

Semantic Search & Call Graphs for AI Agents (100% Local)

AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

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

Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

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

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift