Wednesday, March 25, 2026

Runtime Enforcement for AI Agent Actions in Python: Aniketh Maddipati’s AgentMint on GitHub

Unleash Secure AI Agent Calling with AgentMint!

Introducing AgentMint, a robust Python library designed to strengthen the security of AI agents at the tool-call boundary. Here’s what AgentMint offers:

  • Runtime Enforcement: Guarantees scoped permissions and content scanning before actions execute.
  • Cryptographic Receipts: Every decision generates an Ed25519 signed receipt — verifiable with openssl without needing AgentMint.
  • Compatibility: Works seamlessly with any Python agent framework, including MCP and OpenAI Agents SDK.
  • Zero Network Calls: Operates offline with just two dependencies — no API keys required.

Key Features:

  • Scan for Threats: Detects and blocks potential risks in real-time.
  • Scoped Permissions: Customizes action permissions, ensuring agents only access what they’re allowed.
  • Circuit Breaker: Stops runaway agents before budget burnout.

🔗 Ready to enhance your AI security measures? Join the conversation and share this innovative tool with your network!

Source link

Share

Table of contents [hide]

Read more

Local News