Todoist AI MCP
✨Official Todoist AI tool library and MCP Server providing 40+ tools for LLM agents to fully control Todoist accounts.
Model & Inference FrameworkAI AgentsModel Context Protocol
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33 projects
FIM One
✨All-in-One Agent Platform for Global × China Enterprises with unified connector model bridging global SaaS and China-native systems, featuring dynamic DAG planning, progressive disclosure meta-tools, visual workflow editor, and multi-channel delivery.
Model & Inference FrameworkMulti-Agent SystemRAG
company-research-agent
✨A multi-agent company due diligence and research tool based on LangGraph + Tavily that automatically generates comprehensive company research reports.
AI AgentsMulti-Agent SystemAgent Framework
Jarvis Registry
✨An open-source, enterprise-grade MCP & A2A Agent Gateway and Workflow Orchestration platform with unified authentication, service registry, fine-grained access control, and full-stack observability.
Multi-Agent SystemAI AgentsModel Context Protocol
OpenAgent
✨Next-generation personal and enterprise AI assistant platform powered by LLM, RAG, and agent loops, featuring multi-channel gateways, visual BPMN workflow orchestration, and multi-tenant isolation.
OtherLarge Language ModelsModel Context Protocol
swarms
✨The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework.
Model Context ProtocolMulti-Agent SystemAI Agents
Terminator
✨AI-Native Desktop Automation SDK — Playwright for your entire desktop. Drives any desktop app via native accessibility APIs.
AI AgentsSDKModel Context Protocol
Semantic Kernel
✨An enterprise-ready, model-agnostic orchestration framework by Microsoft for building intelligent AI agents and multi-agent systems.
Model & Inference FrameworkSDKRAG
Solace Agent Mesh
✨An open-source event-driven multi-agent AI framework built on Solace Event Mesh, enabling task orchestration and enterprise integration among specialized agents via the A2A protocol.
AI AgentsMulti-Agent SystemAgent Framework
Atom Agent
✨Open-source self-hosted AI Agent platform featuring voice-driven workflows, episodic memory, multi-view orchestration, and enterprise-grade integrations. Users can drive complex automation via natural language while keeping data entirely in local environments.
RAGMulti-Agent SystemAI Agents
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