RAG, 그래프, 에이전트 장기 메모리. 서버 2,608개를 사용량이 많은 순으로 보여 줍니다. 각 항목은 게시자의 페이지로 연결됩니다.
MCP server for code intelligence - maps source code into a knowledge graph so AI tools understand architecture, not just files. Built in Rust.
High-performance Knowledge Graph MCP Server for Cursor IDE with local embeddings, advanced search, and comprehensive security features
One wiki for all your agents. The server behind dexio.wiki: MCP, the web app, history and sharing.
Agent memory on SQLite or Postgres that flags superseded facts and abstains instead of guessing.
From the Roots to the Fruits !
A robust MCP server that eliminates temporal blindness in AI coding agents through intelligent time tracking, persistent memory, and complete session traceability
Find a retrieval MCP server that works today: a daily-checked list of MCP servers that search knowledge
A utility for reading in the corpus of your life...
Channel layer that turns any content needing IDP — scans, photos, image PDFs, Office files — into trustworthy structured data (OCR + Markdown + metadata + optional field extraction), exposed via REST
MCP server for multilingual dictionary lookups with word relations (synonyms, antonyms, hypernyms, translations, etc.) covering all languages via ConceptNet, Wiktionary, and Datamuse
Remote code intelligence and build server for AI coding agents via MCP: semantic navigation, safe refactoring, builds and tests on remote nodes.
MCP server that builds an in-memory RDF knowledge graph of your codebase and exposes it via SPARQL queries
Lightweight QMD alternative: fully local hybrid search engine (BM25 + vector + rerank) and MCP server in a single ~15MB Go binary. No Node.js. Runs on Raspberry Pi.
Ferrosa Memory is an MCP-native memory server. Typed facts with history, plans, skills, graph relationships and folded context — returned by meaning, keyword, sound, or graph traversal. Forgetting is
Hot Dev: Hot Language and AI Workflow/Agents Platform
Terminal-native AIGC toolkit: multi-provider image/video/audio generation, Midjourney, chat, AIGC forensics, knowledge base, MCP Server. 终端原生 AIGC 工具包:多厂商图片/视频/音频生成、Midjourney、AI 对话、AIGC 取证、知识库、MCP 集成
MIND knowledge-graph memory for agents. 44 tools: CRM, Life, MoneyMIND, Budget, Sheets, Email, Sign.
Privacy-first Multimodal Data Refinery, Repo Context Firewall (Prompt Injection & Trojan Source Defense), Offline Vietnamese OCR, Multilingual E5 ONNX + SQLite FTS5 RAG & 9-Tool MCP Server.
A high-performance Model Context Protocol (MCP) server written in Go that acts as a real-time Retrieval-Augmented Generation (RAG) agent for your codebases.
MCP server that reverse-engineers architecture from code (Go, TypeScript, Python) and markdown into a structured graph. Detects drift between any two branches, tags, or commits
MemorizedMCP delivers a high‑performance, local‑first MCP Server in Rust that equips AI agents with an advanced hybrid memory system. It combines a knowledge graph, vector embeddings, and full‑text se
Session continuity for AI coding agents — your agent picks up where it left off. Persistent memory for Claude Code, OpenAI Codex CLI & Google Gemini CLI, sharing one local db: auto context injection,
Python API and agentic skill for Google Gemini Notebook
Turn any Git repo into a queryable knowledge graph. Tree-sitter + git history + DuckDB + WebGL graph. MCP server for Cursor & Claude Code.
AI agent memory & infrastructure landscape — comparative catalog of 912 systems × 68 columns covering memory layers, agent frameworks, runtimes, vector stores, knowledge graphs, MCP servers, benchmark
Outline knowledge base MCP Server
Chat with your Obsidian notes, build research maps and review proposed edits using your chosen model connection.
Self-hosted MCP memory server — 35 tools for persistent context across AI coding sessions. Runs on Docker with PostgreSQL + pgvector + Ollama.
Self-hostable, git-native knowledge base & AI memory (MCP) — your notes stay plain Markdown files in your own git repo. Pure-stdlib Python, no database. AGPL-3.0.
Persistent semantic memory for AI. An MCP server that turns every conversation into a living concept graph — vector search, Hebbian link reinforcement, spreading activation — so your LLM remembers acr
A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AG
Local-first cross-corpus retrieval MCP server — model2vec embeddings + LanceDB (Tantivy BM25) + SQLite. One binary; hybrid (dense + BM25) search across markdown, code, and Claude Code sessions.
Local-first persistent memory MCP server for Claude Code, Codex, Cursor, Qwen Code, and AI coding agents. Cross-session, cross-agent SQLite memory.
Source-backed local memory shared by Claude Code, Codex, pi, and MCP clients. No generative LLM.
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bed...
IssueOps agent harness: team memory for coding agents. Cautions and ADRs ship in the same PR as the code. Works with Codex, Claude Code, Omo, omp, and opencode.