Vek-Sync - Built by Vektor Memory - (Model Context Protocol) MCP-sync server configurations in sync across all your AI editors - Open Source
Persistent memory for AI coding agents. Single binary, instant full-text search, workspaces, MCP server.
Local-first memory shared by Codex, Claude Code, Cursor, Gemini CLI and other MCP agents. One local file, no account. By Sergey Moloman.
Docker container for centralized Ruflo MCP server with PostgreSQL (RuVector). Architecture: Ruflo (stdio) → Express proxy (Streamable HTTP /mcp).
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
Distill AI coding sessions (Claude Code / Codex / Cursor) into weekly reports, ADRs, incident reviews and a knowledge graph — local-first, evidence-linked.
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
ACTA · API MCP com ferramentas de integração entre IA, PostgreSQL, MongoDB e Qdrant · Inteligência Artificial
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
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
Persistent memory MCP server for Codex with local SQLite storage and progressive retrieval tools.
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
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.
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
Persistent Memory for AI Agents. Nothing becomes Memory until you approve it. Plain local files, a receipt on every entry.
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
ContextOS — document retrieval and conversation memory for AI workflows. MCP server, FastAPI, Google embeddings, and Pinecone. Keep the thread.
Graph-native memory and self-learning for Claude Code. Every session remembered, every pattern learned, every agent connected — powered by AI Native Lang.
This tool generates importable n8n workflows from plain English descriptions
RAG pipeline for documents (Markdown, PDF, images). 10-step hybrid search, LLM enrichment, taxonomy, MCP server. Cloud or local.
Gives LLMs precise answers from pre-researched code across repositories and languages - instead of re-scanning files and rebuilding context every session
Local MCP server + CLI turning YouTube & local audio into rich sonic signatures. Extracts BPM, section-by-section key, vocal presence, transient punch, and 512-dim CLAP vibe embeddings. Powered by De
Local-first, self-hosted lifelog app for recording, searching, and analyzing your life with AI through MCP.
An MCP server to use vectordb as a tool for AI Agents.
PineScript v6 MCP Server - 6 tools for docs lookup, code validation, and code generation. 1751 entries, 100% local.
RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.
Persistent code graph for AI agents. Tree-sitter → SQLite → MCP. Agents store understanding once, skip re-reads forever. 51–1500x fewer tokens.
Local-first AI context engine combining a structural Atlas, verified Archive, episodic Animus memory, CLI, MCP, and focused context routing.
A MCP (Model Context Protocol) server that exposes primitives for interacting with a Knowledge Graph
Persistent memory and identity for AI minds, served as MCP tools on Postgres.
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.
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RAG กราฟ และหน่วยความจำระยะยาวของเอเจนต์ 2,578 เซิร์ฟเวอร์ เรียงจากที่ใช้มากที่สุด แต่ละรายการจะเปิดหน้าของผู้เผยแพร่