omnigent

Omnigent puts one layer over all your AI coding agents so switching between them stops being a rewrite. Claude Code, Codex, Cursor, OpenCode, Hermes, Pi, and custom agents defined in YAML run through a single harness with shared policy controls, and you can mix several in one session or swap mid-conversation. Agent choice becomes a config line. Apache 2.0.

Access has broadened past the terminal: browser, phone, and desktop all reach the same session, which is the feature that matters when an agent has been grinding for twenty minutes and you walked away from your desk. Install is a single curl command, or Python 3.12+ manually. Run the server locally, or deploy it with Docker Compose to Render, Railway, Fly.io, Modal, or Cloudflare.

The sandbox story is the other reason to look. Agent execution can be pushed into Modal, Daytona, E2B, or Kubernetes instead of running against your filesystem, with credentials hidden from the agent. Solo developers running two or three agents get the policy controls alone worth the setup. Small and medium teams get the most from shared sessions and remote access. Large teams should read the policy model closely first.

The catch is that a meta-harness inherits every underlying harness's quirks and adds its own. Each agent still has features the abstraction does not fully expose, and when something breaks you have two layers to debug. The project moves fast with a large open issue queue, so pin your version.