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AEGIS Governance

AI & Memory Local

Quantitative governance gate for AI agents. Six gates (risk, profit, novelty, complexity, quality, utility) return PROCEED/PAUSE/HALT/ESCALATE with confidence scores and hash-chained, tamper-evident audit trails. Generates NIST AI RMF and EU AI Act Annex IV artifacts. 10 MCP tools; local stdio and hosted Streamable HTTP with a free tier.

Install from GitHub GitHub Docs Glama

How to connect

  1. Glama registry

    View https://glama.ai/mcp/servers/s0oei3t5ah for deploy options, or install from https://github.com/undercurrentai/aegis-mcp (see README for MCP config).

  2. GitHub

    Install from https://github.com/undercurrentai/aegis-mcp and add the server to your MCP client configuration (see repository README).

Tools

Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.