RAG, 그래프, 에이전트 장기 메모리. 서버 2,612개를 사용량이 많은 순으로 보여 줍니다. 각 항목은 게시자의 페이지로 연결됩니다.
Local-first Code Knowledge Graph and MCP retrieval engine for AI coding agents. Built with Rust, SQLite, and Tree-sitter. No database server required.
A local-first MCP memory server for Claude Code with hybrid vector + lexical search
Graph-based retrieval for Obsidian vaults with Hebbian synaptic plasticity
Local context cache and code map for AI agents, written in Rust. 100% offline, zero dependencies. MCP server included.
Open-source, LLM-agnostic second brain. Connect any LLM (local llama.cpp, Claude, Codex, GPT, Gemini, Grok, Ollama) via MCP — memory lives as Markdown in YOUR GitHub repo, independent of any model. De
Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it
A local CLI that remembers failed commands and what fixed them, asks your coding agent why before it edits, and keeps you able to explain your own code.
Multi-provider LLM agent backend with RAG, Python toolpacks, SSE streaming and MCP server. Supports OpenAI, OpenRouter and Ollama with per-session routing, tool-calling loop and OpenTelemetry observab
Open-source, self-hosted team memory for AI coding agents. Share, search, and audit project context through MCP.
Self-growing procedural knowledge layer for AI agents. Rust MCP server + CLI — recall relevant knowledge before tasks, record outcomes after, distill experience into reusable insights. Works with Clau
Rust MCP server with 35 tools for structured reasoning, self-improvement, semantic session memory, and agent/team coordination powered by the Anthropic Claude API
Thalamus: a small governance layer over CortexDB for the shared knowledge of an organisation
Let your AI apps search your own files, privately. A Windows desktop app and MCP server with local hybrid (keyword + semantic) search over your folders. No cloud or API key needed.
High-performance Go tools for LLM Agents (MCP/CLI). 100x faster than Python. Includes native MCP Server, token-optimized search, and persistent project memory.
A context-first, deterministic, single-file database for AI agents — SQLite for AI memory. Records, typed graph relations, BYO embeddings, and time under one ACID transaction. No-LLM by contract: hybr
Evidence-only RAG + MCP server for Vietnamese banking & fintech regulation — exact Điều/Khoản citations, validity status, and official government source links for your own AI. No hallucination.
Your Ultimate Local AI Memory Hub 2026 – Eliminate AI Amnesia Today
What your agents know about your system: a 114-language code graph, memory and knowledge, in a local CLI and MCP server (33 MCP tools, 3 domains). Holds your data sources' structure, never their rows.
MemVault — The Shared Memory Layer for Every AI Agent You Run. Self-hosted, open-source MCP memory server with auto-injection, hybrid (BM25+vector) search, and zero-config sync — works with Codex, Cla
My personal AI memory layer — vector store + session consolidation + MCP server wired to GitHub Copilot.
Model Context Protocol Server with RAG knowledge base
Read-only MCP server that lets Claude search and read your LogSeq graph: page context, link traversal and journals by date. Batched Datalog keeps a question to a handful of calls. Native Rust binary,
MCP server that builds a knowledge graph of a GitHub org's repositories, dependencies, languages, teams, and topics using FalkorDB
MCP server for RAG knowledge base search — local embeddings (fastembed/ONNX) + vector search (LanceDB)
Standalone MCP server giving AI assistants persistent, self-organizing memory over the SERAPH geometric knowledge engine (C ABI, no Python).
Every free LLM API, MCP server, agent framework and free-tier service you need to build an AI agent in 2026. 384 resources, human-verified, no credit card required for 222, links checked daily. Build
Persistent memory MCP server for AI coding agents. Injects project context at session start, stores architectural decisions, and recalls preferences works with Claude Code, Cursor, Windsurf, OpenCode,
Model Context Protocol (MCP) server for FalkorDB — read-only graph access for AI assistants
Apple ecosystem MCP server for Claude Code, Cursor, and other AI assistants — Notes, Reminders, Contacts with BERT semantic search
A minimal Rust vector-memory server that works with Qdrant and Ollama.
ExpHub is an open-source MCP server that transforms AI assistants into collaborative knowledge workers. It automatically searches past experiences, captures new solutions in structured templates, and
Long-term memory for coding agents over MCP: hybrid search over Markdown notes with a link graph, on PostgreSQL, Qdrant, and Ollama
(BACKEND )An MCP-compatible vector search server built in Go, powered by Pinecone and OpenAI.
Semantic code-search MCP server for AI coding agents: hybrid retrieval (embeddings + BM25 + reranking), tree-sitter AST chunking, 30-100x fewer tokens
A high-performance Model Context Protocol (MCP) server written in Rust that extends AI models into autonomous coding agents with semantic memory, built-in Git tools, and codebase indexers
Stable MCP supervisor proxy for stdio servers: cached discovery, unified mcp.wrapper lifecycle control, and on-demand backend processes.