Build, evaluate and train General Multi-Agent Assistance with ease
-
Updated
Mar 18, 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
The composable agent runtime.
Secure runtime for AI agents to execute untrusted code -- free and open-source from Celesto AI 🧡🛡️
🛡️Decision infrastructure for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.
MCPcat is an analytics platform for MCP server owners 🐱.
MCPcat is an analytics platform for MCP server owners 🐱.
Open-source sandboxes where coding agents build and deploy. Spin up isolated environments where Claude Code, Cursor, and other agents code and deploy software.
AxonFlow: Execution control plane for production AI agents
Agent runtime with full system prompt control. Define agents in markdown, run them in a terminal TUI or multi-user web UI. Powered by the Claude Agent SDK.
Production-ready personal AI agent runtime in Go with WebUI, multi-agent orchestration, memory, audit, and distributed node support.
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.
Multi-model AI agent runtime. Define agents in YAML, connect 6 LLM providers, orchestrate with ReAct/Plan&Execute/Fan-Out/Pipeline/Supervisor/Swarm patterns, and deploy as REST/WebSocket API with RAG, memory, MCP tools, guardrails, and OpenTelemetry observability.
Virtual shell runtime for Jido agents with session state and command execution.
Universal AI agent middleware. Gives CLI agents (Claude Code, Gemini CLI, Codex, OpenCode) 22+ messaging channels, persistent sessions, and 50 MCP tools. Fork of OpenClaw with the platform layer replaced by AgentRuntime.
Local-first engine for secure, reproducible AI agents: daemonless CLI, policy-enforced isolated runtimes, and immutable ClawCapsule artifacts.
AI-Native Bash Runtime with LSP & MCP | 2,000+ pure bash functions | Zero dependencies | Safe execution, structured output, first-time correctness for AI agents
Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and self-growing tool libraries. Compare 3 sandbox backends: Docker (OpenSandbox), MicroVM, and in-process AST.
Add a description, image, and links to the agent-runtime topic page so that developers can more easily learn about it.
To associate your repository with the agent-runtime topic, visit your repo's landing page and select "manage topics."