A Go read-only file-to-Markdown database with SQLite FTS5 keyword search and MCP retrieval tools for AI agents
Open-source voice agent platform with visible reasoning. Build a roster of AI experts with their own retrieval, guardrails, rules and RAG sources - configured from the UI, with per-step model routing
Rust foundation library for AI-native apps — 16-provider catalog, async LLM client, MCP server, knowledge graph, local ONNX embedding (44 models), and safety utilities
零依赖确定性 Agent 长期记忆系统 — Markdown 权威源 + 薄索引,拒答/澄清替代向量硬猜,玻璃盒可审计。 | Zero-dependency deterministic agent memory system — Markdown authoritative store + thin index, refuse/clarify instead of vector guessing.
Local-first MCP memory governance for coding agents — Codex, Claude Code, Cursor, Grok, and Trae. Shared rules, deduplication, token insights, audit, and rollback.
A Python-based server implementation of the Model Context Protocol (MCP) designed for Retrieval-Augmented Generation (RAG) workflows. It manages the flow of context, tool invocation and model output i
Omnex is not a search tool. It is the memory substrate for the agentic era — the data layer that sits beneath AI agents, AI operating systems, and human-AI interaction. What exists today (file systems
Local-first Codex plugin that indexes long videos with OCR/ASR and answers with timestamped, SHA-verified visual evidence.
Local-first memory shared by Codex, Claude Code, Cursor, Gemini CLI and other MCP agents. One local file, no account. By Sergey Moloman.
Semantic search over WSO2 docs (APIM, IS, MI, Choreo, Ballerina) via RAG and pgvector.
Self-improving, self-hosted memory across every AI coding tool, project, and team (Claude Code, Cursor, Copilot, any MCP client). Autoskill proposes new skills from your sessions, so each project impr
Self-hosted RAG stack for crawl, scrape, search, ingest, query, and ask workflows with Qdrant, TEI embeddings, Chrome rendering, MCP/CLI/REST, and Gemini synthesis.
Vek-Sync - Built by Vektor Memory - (Model Context Protocol) MCP-sync server configurations in sync across all your AI editors - Open Source
Distill AI coding sessions (Claude Code / Codex / Cursor) into weekly reports, ADRs, incident reviews and a knowledge graph — local-first, evidence-linked.
Persistent memory for AI coding agents. Single binary, instant full-text search, workspaces, MCP server.
Docker container for centralized Ruflo MCP server with PostgreSQL (RuVector). Architecture: Ruflo (stdio) → Express proxy (Streamable HTTP /mcp).
SolidWorks 2022 MCP server: run, test and auto-fix VBA macros via COM. Self-improving knowledge base, JS-rendered API-docs pipeline, 23 feature generators (parts, assemblies, surfaces, sheet metal).
ACTA · API MCP com ferramentas de integração entre IA, PostgreSQL, MongoDB e Qdrant · Inteligência Artificial
Autonomous AI assistant plugin for Claude Code — 5 MCP servers, 21 skills, 3-tier persistent memory, knowledge graph, multi-agent orchestration with Discord/Telegram integration for 24/7 Everyday work
Signed, append-only decision records for AI coding agents: an MCP server and CLI that open Claude Code, Codex, Copilot CLI, Gemini CLI, OpenCode, VS Code and Cursor sessions with your team's decisions
Persistent memory MCP server for Codex with local SQLite storage and progressive retrieval tools.
Model Context Protocol server that brings Moorcheh search and RAG tools to MCP clients.
Engram is a self-hostable AI memory layer. It sits between an application and an LLM provider, retrieves relevant user memories from pgvector, injects them into chat prompts, forwards the request, and
The Karpathy LLM Wiki, production-ready. Zero-RAG personal knowledge base with MCP server, multi-agent support, knowledge graph visualization, and hallucination enforcement. No embeddings, no vector D
Memory engine for self-evolving AI agent ecosystems. Multi-tenant, multi-space isolation with Bayesian truth maintenance, emotional valence, automatic consolidation, and configurable per-agent persona
A local, agent-queryable mail intelligence layer — progressive mailbox index + MCP server that gives AI agents recall over your email without handing them the keys.
Wake Intelligence: 5-Layer Temporal Intelligence for AI Agents A production-ready Model Context Protocol (MCP) server implementing a temporal intelligence "brain" with five layers: Past (causality tr
ContextOS — document retrieval and conversation memory for AI workflows. MCP server, FastAPI, Google embeddings, and Pinecone. Keep the thread.
Turn any folder into an MCP knowledge server: local-first indexing, hybrid search, answers with span-level citations.
One coding agent learns; every agent and future session can start knowing it. Inspectable Markdown + SQLite memory over MCP.
Turn any repo into a Code Knowledge Graph your coding agent can reason over — symbols, API routes, ORM models, architecture decisions & git history as a typed, provenance-tracked graph, served over MC
Persistent Memory for AI Agents. Nothing becomes Memory until you approve it. Plain local files, a receipt on every entry.
내 AI에게 '나'를 기억시키는 로컬 second-brain — 결정의 선택·이유·전제를 .md 노트로 남기고, MCP로 어떤 AI 앱(Claude Code·Desktop·Cursor)에서든 꺼내 쓰는 개인 기억 계층. 전부 로컬(Ollama 임베딩)·오픈소스.
A MCP (Model Context Protocol) server that exposes primitives for interacting with a Knowledge Graph
This tool generates importable n8n workflows from plain English descriptions
RDF knowledge graph for LLMs — an MCP server with 5 tools: triple, sparql, graph, search, validate
Gesamtes Verzeichnis
RAG, Graphen und Langzeitgedächtnis für Agenten. 2,586 Server, die meistgenutzten zuerst. Jeder öffnet die Seite des Herausgebers.