Local-first TypeScript MCP server for Qdrant with client isolation, LM Studio integration, and scalable document workflows.
Standalone Node MCP server: semantic search + knowledge graph + vault editing for Obsidian, no plugin required
Baron Munchausen — local memory for coding agents that outlives the chat, with a verdict on every answer. Public alpha.
XMemo: user-owned Memory OS for AI agents. Public client (@xmemo/client), MCP distribution, Skills and plugins.
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human
Obsidian Turbocharged — governed, agent-ready Obsidian MCP server. Multi-vault native, pluggable embeddings, OAuth-ready HTTP. TypeScript + Rust. AGPL-3.0-only.
Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No
Squish gives AI agents calibrated recall confidence (ECE 0.055) and honest abstention — the only memory runtime that tells your agent how much to trust each recollection, and says I don't know when no
Persistent decision memory for AI coding agents. MCP server for Claude Code, Cursor, Cline.
MCP server for Google's free public Knowledge Graph Search API - search for structured entity information about people, places, organizations, and concepts
Persistent memory for AI coding agents via MCP: a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter and Gemini Flash into Neo4j vi
Huntable CTI Studio is an AI-assisted cyber threat intelligence workbench that turns open-source CTI into Sigma rules.
MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server;
Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
Persistent memory for AI agents — OpenClaw plugin + MCP server
Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.
Memory that forgets: a persistent, self-revising belief-state MCP server and Python API for agentic R&D. Uses a hypothesis DAG to auto-prune dead ends and deduce truth without extra probes.
The trust and intelligence layer between AI agents and your database. Read-only by architecture, semantic knowledge graph + audit log, MCP-native.
Stop re-explaining your project to AI agents every session. One memory layer for Claude Code, Cursor, Windsurf, Antigravity — local, MIT, no signup.
Multi-agent memory MCP server in Go to share typed memories across Claude Code, Codex, and more
AI-powered semantic search for Microsoft Dynamics 365 F&O development. Find and understand X++ code through natural language queries via Model Context Protocol (MCP).
CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (
Cross-surface persistent memory for AI sessions
Fully local AI memory for Apple Silicon. MCP server with semantic vector search, MLX embeddings, and LLM enrichment — no cloud APIs required.
A lightweight MCP server that integrates with Apple Notes to create a personal memory system for AI. Easily recall and save information from your Mac using simple AppleScript commands. Compatible with
PeopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that unde
Local-first AI agent memory daemon. One command, works offline, no account. Markdown storage, hybrid search (SQLite FTS5 + embeddings), MCP protocol, web dashboard.
Shared, structured memory for AI coding agents — MCP server + CLI. One memory layer for Claude Code, Codex, Cursor & every MCP client.
A desktop search engine for everything you write, read, and keep. Connect your Obsidian vault, projects, Calibre library, and code repos, then find anything with local hybrid search and expose through
Code search that lets AI coding agents find the right files in fewer steps. Use the hosted endpoint or self-host, works with Claude Code, Copilot and Cursor via MCP.
Vault-native MCP server for Obsidian: let Codex, Claude Code, Hermes, and other agents read, search, and safely manage your notes.
The personal context layer for everything you learn. Drop in any files and stoa builds a maintained, cited wiki + knowledge graph — private by design, yours to share with people and agents you trust.
Local-first memory for AI assistants. Keep preferences, decisions and lessons across sessions and connected tools in readable Markdown files.
Headless semantic MCP server for Obsidian, Logseq, Dendron & any markdown vault. AST-based surgical editing, hybrid vector + TF-IDF search, zero-setup local embeddings — no app or plugins required. St
Persistent visual memory for AI agents — capture screenshots, embed with CLIP ViT-B/32, compare, recall. MCP server + Rust core library.
Tüm dizin
RAG, graflar ve uzun süreli ajan belleği. 2,594 sunucu, en çok kullanılanlar önce. Her biri yayıncının sayfasını açar.