Build, evaluate and train General Multi-Agent Assistance with ease

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

MCPcat is an analytics platform for MCP server owners 🐱.

Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support.

MCPcat is an analytics platform for MCP server owners 🐱.

A lightweight, theory-aligned agent framework for .NET - build autonomous agents and multi-agent systems with clean, composable primitives.

IntentusNet — Language-Agnostic AI Agent Runtime & Orchestration Framework A high-performance, secure, multi-agent runtime that supports intent routing, fallback, workflow orchestration, and optional EMCL encryption. Designed for scalable AI systems, distributed automation, and MCP-compatible agent workflows.

Android runtime for the MindsEye OS. Implements LAW-T time-labeling, LAW-N network intent, TLDI (Time-Labeled Device Interface), Duo Bluetooth routing, device fingerprinting, and secure local data sharing.

🤖 Build efficient multi-agent workflows with the OpenAI Agents SDK, supporting OpenAI APIs and 100+ other LLMs for flexible solutions.

🔧 Build and run a lightweight DSPy micro agent with Python, enabling seamless tool-calling and efficient execution of tasks via a simple API.