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AI agents are getting tool access — shell, file system, databases, APIs, secrets. But **nobody is governing what they actually do with it**. Frameworks like LangChain, CrewAI, AutoGen, and Claude Code give agents the power to execute. Agent Armor gives you the power to control, audit, and approve every single action before it happens.

120 starsRust

Agent Armor, a Rust runtime for enforcing policies on AI agent actions

by edoardobambini-·Apr 17, 2026·7 points·5 comments

AI Analysis

●●SolidBold BetShip It

Zero-trust governance for AI agents before they execute shell, file, or database actions with full audit trails.

Strengths
  • 8-layer deterministic governance pipeline with MCP and A2A protocol inspection built in
  • Secret scanning and PII detection in agent outputs before they leave the system
  • Human review queue with correlation IDs for tracing decisions across requests
Weaknesses
  • BUSL-1.1 license restricts commercial use and may limit community adoption
  • AI agent governance is emerging space with unclear competitive landscape
Category
Target Audience

Security engineers deploying AI agents with system access

Similar To

LangChain guardrails · CrewAI policies · Lakera Guard

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