TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.
Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.
Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in natural language on ANY LLM (Claude, ChatGPT, Gemini, offline Ollama, or any hosted model). 178 tools, 36 AI skills, 55 installer packs. Local, LAN, VPS, or Comfy Cloud.
MCP server for LibreNMS management
AI builder operating system. Turn Claude Code from a per-session tool into a workspace that remembers, maintains itself, and never goes stale. BASE = Builder's Automated State Engine.
Neo4j Labs Model Context Protocol servers
An experimental GitHub MCP server with local database.
A production-ready Model Context Protocol (MCP) server that enables AI applications to seamlessly interact with Instagram Business accounts.
Headless knowledge base with bidirectional Markdown sync
Traktor Game Engine
Markdown and OFM SDK w/ MCP server that transforms your Obsidian vault into an intelligent knowledge system
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed.
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
Software architecture tooling for the AI age
Universal memory runtime for AI agents
Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.
Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgvector
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.
Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.