Omnigent
A meta-harness for building and running AI agents
About Omnigent
Omnigent is a meta-harness: a common layer that sits above Claude Code, Codex, Pi and agents you write yourself, so you can swap or combine them without rewriting the code around them. Most teams running agents seriously end up with the same problem, which is that spend limits, model routing, sandboxing and credential handling get reimplemented once per harness, in slightly different and slightly wrong ways. Omnigent moves those concerns up a level and makes them policy rather than per-tool configuration.
Install it with the shell script from the project site, or through uv, pip or Homebrew, and start a session. Whatever harness you point it at - Claude Code, Codex, Pi or your own agent - the runner wraps it in the same sandboxed session shape, which is what makes switching between them a one-line change instead of a rewrite.
Policies are attached rather than coded in, so a spend cap, a routing rule or an escalation threshold applies across whichever agent is running underneath.
- •Harness Composition - Combine or switch between Claude Code, Codex, Pi and custom agents with one-line changes, so the choice of harness stops being a lock-in decision
- •Contextual Policies - Stateful spend caps, model routing and risk-based escalation applied as policy across every agent rather than configured per tool
- •Secure OS Sandbox - Restricts filesystem and network access and hides credentials from the agent while brokering access to them, which is what makes unattended runs defensible
- •Uniform Session Model - A runner wraps any agent in the same sandboxed session shape, and a server adds policy enforcement and shared history on top
- •Every Surface - The same live session over terminal, web, native macOS app, iOS, Android and a REST API
Teams running more than one agent harness who are tired of maintaining the same guardrails twice, and anyone who needs spend and risk controls to be enforced centrally rather than trusted to each tool's own settings.
Pricing
- Free (Apache-2.0, self-hosted)$0/mo
