Tools/omnigent-ai/omnigent

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.

7.9k+260/wkemergingPythonApache License 2.0trending

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Jun 2026

Omnigent puts one layer over all your AI coding agents so you can swap between them without rewriting anything. Claude Code, Codex, Pi, your own custom agents, it runs them through a single harness with shared policy controls, so the agent choice becomes a config detail instead of a rewrite. The standout feature is a security sandbox that hides your credentials and locks down filesystem and network access while an agent runs.

Setup is light for what it does: install the CLI through uv or Homebrew, and you get terminal and web UIs plus runners that execute locally or on Modal or Daytona. You bring your own model credentials. The governance and sandboxing are the real reason to look, they address the thing that makes people nervous about letting agents run loose on their machine.

Developers juggling multiple coding agents, or anyone uneasy about an agent seeing their secrets, are the target. If you've settled on one agent and trust it, this is overhead you don't need. The value scales with how much you care about isolation and the ability to switch tools without lock-in.

The catch: it's alpha. The README says so, and that means rough edges, breaking changes, and features still landing. It's free and Apache-licensed, but you're adopting an early project to wrap other early projects. Promising, but not something to build a team's critical workflow on yet.

Free vs Self-Hosted vs Paid

fully free

Free tier: Free and open source under Apache-2.0. No paid version.

Self-hosted: It's a CLI you install and run locally (with optional Modal/Daytona runners). Free. You supply your own model credentials.

Paid: None from the project. Your only spend is the underlying model APIs and any cloud runner you choose.

Free and open source (Apache-2.0), still alpha. You pay only for the models you run.

Self-hosting ops:moderate

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Score
80/100 · A
Adoption23/30
Maintenance25/25
Community7/20
License15/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

Organization account (2 public repos)

License: Apache License 2.0

Use freely. Patent grant included.

Commercial use: ✓ Yes

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