Todoist AI MCP
✨Official Todoist AI tool library and MCP Server providing 40+ tools for LLM agents to fully control Todoist accounts.
Official Todoist AI tool library and MCP Server providing 40+ tools for LLM agents to fully control Todoist accounts.
A lightweight, container-isolated personal AI assistant framework that runs Claude Code agents behind WhatsApp, Telegram, Discord and other messaging platforms, with scheduled tasks, per-channel isolation, and multi-model support.
An official Datadog CLI tool optimized for AI Agents, featuring 200+ commands across 33+ products, structured output, Runbooks automation, and WASM execution.
An interactive design and deployment platform for multi-agent networks based on declarative HOCON configuration and the AAOSA decentralized protocol
A model-driven AI agent orchestration framework for TypeScript, evolved from Amazon's internal production systems, supporting multi-model providers, MCP tools, multi-agent orchestration, and OpenTelemetry observability.
A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.
Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
A framework for building streaming AI agents on the JVM with a built-in transport layer, token-level governance gateway, multi-protocol distribution, multi-channel messaging, and multi-agent orchestration.
A multi-agent orchestration platform that organizes AI agents (Claude, GPT, Gemini, etc.) into collaborative teams with persistent identity, cross-model review, and shared memory, with out-of-the-box desktop deployment.
An open-source Python framework for real-time voice and multimodal conversational AI agents, enabling end-to-end streaming voice interaction via composable Pipeline architecture.
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