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 🐱.

KAIROS-ARK is a high-performance, Rust-based Agent Runtime Kernel built for industrial-grade reliability. It delivers sub-100µs dispatch latency, event-sourced deterministic replay, and kernel-enforced capability sandboxing, bridging Python prototypes and production AI systems.

IntentusNet - Deterministic intent routing runtime for agent execution, with explicit fallback, transport abstraction, and clear operational boundaries.

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

Production Rust runtime for MXP-native agents: lifecycle, tools, policy, memory, telemetry.

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

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