Model Context Protocol server that brings Moorcheh search and RAG tools to MCP clients.
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.
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
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
Gives LLMs precise answers from pre-researched code across repositories and languages - instead of re-scanning files and rebuilding context every session
Turn any folder into an MCP knowledge server: local-first indexing, hybrid search, answers with span-level citations.
Local-first memory shared by Codex, Claude Code, Cursor, Gemini CLI and other MCP agents. One local file, no account. By Sergey Moloman.
One coding agent learns; every agent and future session can start knowing it. Inspectable Markdown + SQLite memory over MCP.
Persistent Memory for AI Agents. Nothing becomes Memory until you approve it. Plain local files, a receipt on every entry.
OSCP methodology knowledge base with web UI and MCP server
ContextOS — document retrieval and conversation memory for AI workflows. MCP server, FastAPI, Google embeddings, and Pinecone. Keep the thread.
This tool generates importable n8n workflows from plain English descriptions
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
Graph-native memory and self-learning for Claude Code. Every session remembered, every pattern learned, every agent connected — powered by AI Native Lang.
A local-first, token-efficient MCP memory server for AI coding clients
Self-hosted MCP memory server with hybrid semantic + keyword search on Cloudflare Workers
A MCP (Model Context Protocol) server that exposes primitives for interacting with a Knowledge Graph
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
Semantic search over WSO2 docs (APIM, IS, MI, Choreo, Ballerina) via RAG and pgvector.
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.
RDF knowledge graph for LLMs — an MCP server with 5 tools: triple, sparql, graph, search, validate
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.
Persistent memory and identity for AI minds, served as MCP tools on Postgres.
Ultra-lightweight local knowledge base (OKF v0.2 / LLM Wiki). Markdown is the source of truth; agents connect over MCP — Claude Code, Codex, Cursor, Strata, Unsloth and more.
A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.
LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.
Token-efficient code intelligence for AI agents — 66 MCP tools via tree-sitter AST, BM25F search, semantic search, and LSP bridge
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.
SQLite-based MCP memory server with WAL mode for concurrent access. Drop-in replacement for @modelcontextprotocol/server-memory
Ultra-fast MCP server for semantic memory and code analysis
Shared memory for AI coding agents, across tools and machines. Local-first SQLite, optional Zenoh+RocksDB mesh, MCP-native.
Native Rust code intelligence for repository navigation, change review, impact analysis, and code health, backed by per-project RocksDB.
Auditable, self-improving knowledge & memory for AI agents over MCP. Zero-key & multilingual by default · citation-enforced answers · replayable why-trace · judge-gated compounding loop. Postgres-only
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RAG, grafos y memoria de agente a largo plazo. 2,619 servidores, los más usados primero. Cada uno abre la página del publicador.