Build, evaluate and train General Multi-Agent Assistance with ease
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Updated
Feb 13, 2026 - Python
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 🐱.
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.
Secure runtime for AI agents, and tools -- free and open-source from Celesto AI 🧡
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
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.
A minimal kernel for agentic systems. Runtime-first architecture for programmatic tool execution. Inspired by Anthropic's Code Execution with MCP.
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)
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.
A verification-first runtime for AI web agents — with Jest-style assertions and token-efficient snapshots
A verification-first runtime for AI web agents — with Jest-style assertions and token-efficient snapshots
Secure Agent Governed Execution OS
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.
OpenClaw skill + integration docs for GnamiBlast
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