Aegis addresses critical security vulnerabilities inherent when AI agents interact with external APIs, such as Slack, GitHub, or internal tools. It acts as a secure intermediary, preventing agents from ever directly accessing or storing sensitive API keys. By routing all agent API calls through a local proxy, Aegis injects credentials at the network boundary, enforces domain restrictions, maintains a comprehensive audit log of all activity, and offers granular access control and rate limiting. This ensures that even if an agent is compromised, real credentials remain protected, and all actions are traceable and governed by declarative policies.
主要功能
01AES-256-GCM Encrypted Credential Vault
02HTTP Proxy (Gate) for Transparent Credential Injection
03Domain Guard to Enforce Outbound Request Restrictions
04Comprehensive Audit Ledger for All API Calls
05Native Model Context Protocol (MCP) Server Integration
062 GitHub stars
使用案例
01Implementing granular access policies and rate limits for AI agents accessing various services.
02Securing AI agent interactions with sensitive external APIs (e.g., Slack, GitHub, internal tools).
03Providing a detailed, immutable audit trail of all API requests made by AI agents for compliance and monitoring.
