omnigent
A meta-harness for all your AI agents. Omnigent provides a common layer over Claude Code, Codex, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, keep them in check with policies and sandboxing, and collaborate in real time on the same live session, from any device.
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Oct 2026
Omnigent is one control layer over your coding agents. Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and agents you define in YAML run through the same server, so you can mix them in one session, have one review another's work, or swap via config. Built by Databricks' AI team with Neon, Apache 2.0, free.
Install is one curl script or uv tool install omnigent on Python 3.12+. Run the server locally, or docker compose up on a VPS and sessions follow you to browser, phone or desktop. Policies can pause for approval before shell commands or cap spend, and agents can run in Modal, E2B or Kubernetes sandboxes.
No paid tier. You pay for the agents underneath, and three agents in one session means three token bills. Solo, small and medium teams: free. Large teams: wait for a stable release.
The catch: this is alpha software whose job is containing agents, and its security record says that job isn't done. It has published 13 GitHub security advisories since June, four critical, including policy bypasses, host shell escapes and a default auth mode that allowed impersonation. All are patched as of 0.18.0, so stay current. Telemetry is on by default (OMNIGENT_ANALYTICS=0).
Free vs Self-Hosted vs Paid
fully freeFree: Everything. Apache 2.0: multi-agent sessions across Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and YAML-defined agents, the policy engine (approval prompts, spend caps, tool limits), local OS sandboxing, multi-user accounts, shared sessions and the web UI. omnigent.ai lists no pricing page, paid tier or hosted commercial plan.
Self-hosted: A local server on your own machine costs $0. For access from anywhere, docker compose up on any host, one-click Render or Railway, or guides for Fly.io, Hugging Face Spaces, Modal, Cloudflare and Databricks Apps; hosting cost is whatever that provider charges. Linux needs bubblewrap for terminal sandboxing; native Windows runs in a degraded mode with no filesystem or network isolation. The curl installer also installs the Databricks CLI unless you pass --no-databricks. Telemetry is on by default; OMNIGENT_ANALYTICS=0 or DO_NOT_TRACK=1 turns it off.
Paid: No Omnigent paid tier. The real bills are the agents underneath (Anthropic, OpenAI or Cursor subscriptions, API keys or a gateway), which stack when several agents share a session, plus usage charges from any cloud sandbox provider you choose (Modal, Daytona, E2B, Blaxel, CoreWeave and others).
Free and Apache 2.0 with no paid tier. Your bill is the agent subscriptions or API keys underneath, plus any cloud sandbox or hosting provider you pick.
What to do by team size
- Solo
- free; run it locally and upgrade with every release
- Small team
- free; self-host one server for shared sessions and phone access
- Medium team
- free; self-host, set server-wide policies and watch the security advisories
- Large team
- free, but wait for a non-alpha release and review the advisory history before rollout
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Trust Signals
License: Apache License 2.0
Use freely. Patent grant included.
Commercial use: ✓ Yes
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