Agentos

Build and manage policy-compliant AI agents with safety enforcement and compliance checking

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "agentos": {
      "command": "npx",
      "args": [
        "-y",
        "agentos-mcp-server"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Agent OS — Community Edition

A kernel architecture for governing autonomous AI agents

⭐ If this project helps you, please star it! It helps others discover Agent OS.

📦 Install the full stack: pip install ai-agent-governance[full] — PyPI | GitHub

Quick Start • Documentation • VS Code Extension • Examples • Agent Hypervisor • AgentMesh • Agent SRE

Try Agent OS instantly in your browser - no installation required

Integrated With

Featured In

across 170K+ GitHub stars. Governance for [Dify](https://github.com/langgenius/dify-plugins/pull/2060) (65K ⭐), [LlamaIndex](https://github.com/run-llama/llama_index/pull/20644) (47K ⭐), [LangGraph](https://pypi.org/project/langgraph-trust/), [OpenAI Agents](https://pypi.org/project/openai-agents-trust/), [Agent-Lightning](https://github.com/microsoft/agent-lightning/pull/478), and [OpenClaw](https://clawhub.ai/imran-siddique/agentmesh-governance).

📊 By The Numbers

1,680+

_{Tests Passing}

12

_{Framework Integrations}

170K+

_{Combined Stars of
Integrated Projects}

<0.1ms p99

_{Governance Latency
Benchmarks}

9

_{More Framework Proposals
Under Review}

🏢 Adopted By Leading AI Frameworks

Framework	Stars	Status	Link
Dify	65K ⭐	✅ Merged	dify-plugins#2060
LlamaIndex	47K ⭐	✅ Merged	llama_index#20644
Microsoft Agent-Lightning	15K ⭐	✅ Merged	agent-lightning#478
LangGraph	24K ⭐	📦 Published on PyPI	langgraph-trust
OpenAI Agents SDK	—	📦 Published on PyPI	openai-agents-trust
OpenClaw	—	📦 Published on ClawHub	agentmesh-governance

📋 Proposals under review at 10+ frameworks (click to expand)

Framework	Stars	Proposal
AutoGen	54K ⭐	microsoft/autogen#7242
CrewAI	44K ⭐	crewAIInc/crewAI#4502
Haystack	22K ⭐	deepset-ai/haystack#10615
Semantic Kernel	27K ⭐	microsoft/semantic-kernel#13556
smolagents	25K ⭐	✅ Adapter built — huggingface/smolagents#1989
LangGraph	24K ⭐	langchain-ai/langgraph#6824
Google ADK	18K ⭐	✅ Adapter built — google/adk-python#4517
PydanticAI	15K ⭐	✅ Adapter built — pydantic/pydantic-ai#4335
OpenAI Agents SDK	—	openai/openai-agents-python#2515
A2A Protocol	21K ⭐	a2aproject/A2A#1501
Oracle Agent Spec	—	oracle/agent-spec#105
AI Card Spec	—	agent-card/ai-card#16

💡 Why Agent OS?

The AI agent market is projected to reach $47B by 2030. As enterprises deploy autonomous agents at scale, governance becomes the critical infrastructure layer. Agent OS is the kernel that ensures every agent action is policy-enforced, auditable, and compliant — making AI agents enterprise-ready.

The problem: AI agents can execute arbitrary tools, access sensitive data, and make autonomous decisions — with no built-in governance, audit trails, or policy enforcement.

Our solution: A governance kernel that sits between agents and their actions, providing deterministic policy enforcement in <1ms with zero agent code changes.

How Agent OS Compares

Read the full README →View source on GitHub →

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Frequently Asked Questions about Agentos

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "agentos": { "command": "npx", "args": ["-y", "agentos"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

28Quality signal: Emerging · 28/100How this signal is calculated ▾

Server availability0/25

Verified ownership8/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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