Agentmesh - AI agent governance middleware

by angelnicolasc

321 downloads
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GitHub

About

Governance middleware for AI agents: deterministic policy enforcement, cryptographic audit trails with digital signatures, DLP/PII detection, Trust Score per agent (0-100), EU AI Act compliance (Art. 9, 11, 12, 14), Agent BOM generation, and Circuit Breaker. Native support for La

Details

Author
angelnicolasc
Downloads
321
Categories
Developer Tools, AI, Security

- AST-based governance scoring with 33 deterministic policy rules (<2ms evaluation)
- Agent BOM (bill of materials) for agents, tools, and models
- Native SARIF 2.1.0 output for GitHub Code Scanning integration
- EU AI Act gap detection (Art. 9, 11, 12, 14)
- Runtime DLP with Presidio-based PII/PCI scanning
- Dynamic trust score and circuit breaker for production agents

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Agentmesh - AI agent governance middleware
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install the CLI with pip install useagentmesh, then run agentmesh scan . for a governance report. To use the MCP server with Claude Desktop or VS Code/Cursor, add the provided JSON configuration to the appropriate settings file, setting the AGENTMESH_API_KEY environment variable for Claude Desktop.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "agentmesh - ai agent governance middleware": {
            "agentmesh": {
                "command": "uvx",
                "args": [
                    "useagentmesh"
                ],
                "env": {
                    "AGENTMESH_API_KEY": "your-api-key"
                }
            }
        }
    }
}

McpServers

{
    "agentmesh": {
        "command": "uvx",
        "args": [
            "useagentmesh"
        ],
        "env": {
            "AGENTMESH_API_KEY": "your-api-key"
        }
    }
}

AgentMesh

Scan your AI agents for governance gaps. Enforce policies in production.

PyPI version
Python 3.10+
[Tests passing]()
License: MIT
[Policy Eval]()

---

What is AgentMesh?

AgentMesh is a governance platform for AI agents, built in two layers:

1. Scan CLI (free, offline, no account) — Analyzes your codebase via AST to find governance gaps, generate an Agent BOM, and map EU AI Act requirements. Like snyk test for AI agents.
2. Runtime Platform (SaaS, requires account) — Middleware that intercepts tool calls in production to enforce policies, scan payloads for PII, and track agent trust. Like snyk monitor for AI agents.

---

Quick Start

```bash
pip install useagentmesh
agentmesh scan .

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