Aegis gives you visibility and control over every action your AI agents take. When a coding agent calls a tool — pushing code, creating branches, merging pull requests — Aegis intercepts the request, evaluates it against your configured policies, and either allows it, rewrites it to a safer path, blocks it, or routes it to a human for approval. Every decision is logged in an immutable audit trail.Documentation Index
Fetch the complete documentation index at: https://docs.runaegis.co/llms.txt
Use this file to discover all available pages before exploring further.
Quick Start
Connect your first agent to Aegis in under five minutes.
How It Works
Understand how Aegis intercepts and governs agent actions.
Policies
Configure the rules that evaluate every agent tool call.
Integrations
Connect Claude Code, Cursor, or VS Code Copilot via MCP.
Approvals
Review and approve sensitive agent actions in real time.
Audit Trail
Browse the complete log of every agent decision.
Get started in four steps
Create your account
Sign up at app.runaegis.co with your email, Google, or GitHub account.
Connect GitHub
Provide your GitHub username, user ID, and a personal access token with
repo, read:user, and workflow scopes. Aegis uses this to inspect repositories and manage pull requests on your behalf.Create a room and connect your agent
Create a room for the repository you want to govern, then paste the generated MCP config snippet into your AI coding tool. Aegis will start intercepting tool calls immediately.
Aegis connects to your agent via the Model Context Protocol (MCP) over Server-Sent Events (SSE). No code changes are required in your agent or repositories.