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 🐱.
MCPcat is an analytics platform for MCP server owners 🐱.
Secure runtime for AI agents, and tools -- free and open-source from Celesto AI 🧡
Orpheus is an Agent Runtime that solves the 'Silent Failure' of CPU autoscaling. It scales on queue depth, persists memory, and recovers from crashes automatically.
Open-source sandboxes where coding agents build and deploy. Spin up isolated environments where Claude Code, Cursor, and other agents code and deploy software.
AI-Native Bash Runtime with LSP & MCP | 2,000+ pure bash functions | Zero dependencies | Safe execution, structured output, first-time correctness for AI agents
A minimal kernel for agentic systems. Runtime-first architecture for programmatic tool execution. Inspired by Anthropic's Code Execution with MCP.
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 execution infrastructure for agent and distributed systems, enabling reproducible workflows, reliable intent routing, transport abstraction, and transparent operational control.
Exactly-once + circuit breaker for agent tool calls (loops, retries, duplicate side effects)
A personal autonomous AI Agent in the style of OpenClaw designed for one single user for personal life management with easy to sync solution and built-in security
Local-first engine for secure, reproducible AI agents: daemonless CLI, policy-enforced isolated runtimes, and immutable ClawCapsule artifacts.
A lightweight, theory-aligned agent framework for .NET - build autonomous agents and multi-agent systems with clean, composable primitives.
Virtual shell runtime for Jido agents with session state and command execution.
A verification-first runtime for AI web agents — with Jest-style assertions and token-efficient snapshots
Provider-agnostic LLM CLI wrapper (claude/openai/gemini)
Recursive agents as skills for model harnesses
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