New · managed-agents 0.1.1

One package.
Every agent governed.

managed-agents is the governance layer that sits between any AI agent framework and execution. Claude Managed Agents, LangChain, CrewAI, AutoGen, or your own harness — every tool call evaluated before it runs, every verdict sealed in your immutable audit trail.

Works with: Claude Managed Agents LangChain CrewAI AutoGen Any custom harness
Featured Integration

Built for Claude Managed Agents.
Works with every framework.

Anthropic built the execution infrastructure. managed-agents governs what runs on it. Every Effect Claude yields passes through behavioral policy evaluation before the sandbox executes. One package. Any framework. Every tool call governed.

Architecture

How governance works
at the harness level.

Nomotic sits between Claude's tool call decision and your sandbox execution — the only point in the architecture where governance has the mechanical authority to stop an action before it happens.

1

Claude yields Effect

tool_name + tool_input sent to the harness loop

Nomotic evaluates

14-dimension behavioral policy check in <3ms via your API key

3

Verdict returned

ALLOW, DENY, or ESCALATE with full reasoning and UCS score

4

Audit record sealed

Cryptographic hash, dimensions, verdict — immutable in your trail

ALLOW — sandbox.execute() proceeds
DENY — GovernanceDenied raised, sandbox never called
ESCALATE — routed to human review queue
All Integrations

Your framework. Our governance.
Any combination.

Every integration uses the same Nomotic governance runtime. Same 14-dimension evaluation. Same audit trail. Same verdict format. The integration layer adapts to your framework — governance stays consistent.

🔗
Available

LangChain / LangGraph

Drop-in governance node for LangGraph workflows. Wraps tool calls with behavioral evaluation. Works with all LangChain tools and chains.

pip install nomotic-langchain Documentation →
👥
Available

CrewAI

Govern CrewAI tool execution across every agent in a crew. Intercepts role-based tool calls before execution with full verdict logging.

pip install nomotic-crewai Documentation →
💬
Available

AutoGen

Governance middleware for Microsoft AutoGen conversation flows. Evaluates agent-to-agent messages and tool calls in multi-agent conversations.

pip install nomotic-autogen Documentation →
🌐
Available

HTTP Proxy

Language-agnostic governance via HTTP. Any framework in any language can evaluate actions through the REST API. Node, Go, Ruby, Java — all supported.

POST /api/v1/govern API Reference →
🔌
Available

MCP Proxy

Governance for MCP tool calls. The proxy intercepts every MCP request and evaluates it before forwarding to the server. Zero changes to your MCP setup.

pip install nomotic-mcp Documentation →
Coming Soon

OpenAI Agents

Governance for OpenAI's Agents SDK and Assistants API. Intercepts tool calls and function calls before execution. In development.

pip install nomotic-openai Request early access →
Platforms

Governance for no-code
and low-code platforms.

Beyond developer frameworks — Nomotic governance is coming to the platforms where non-technical teams are building and deploying agents today.

Coming Soon

Zapier AI Agents

Connect Nomotic governance to Zapier's AI agent automations. Every action in a 6,000-app workflow governed before execution.

🔄 Coming Soon

Make (Integromat)

Governance module for Make's visual automation platform. Evaluate agent actions at any point in a scenario before they execute.

🟠 Coming Soon

n8n

Self-hosted workflow automation with Nomotic governance nodes. Evaluate AI actions inside n8n workflows with your own policy configuration.

Custom Integration

Build your own integration.
The govern API is six fields.

Any language. Any framework. Any platform. If you can make an HTTP POST, you can govern your agents with Nomotic. The response is back in under 3 milliseconds.

POST https://amp.nomotic.ai/api/v1/govern
Request
{ "agent_id": "nmc-de81f69d-...", "action": "write_file", "target": "/reports/q4.csv", "context": { ... } }
Response
{ "verdict": "ALLOW", "allowed": true, "ucs": 0.8341, "evaluation_id": "eval_3ee9...", "latency_ms": 2.7, "dimensions": [...] }
Get Started

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an identity.

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