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omnigent-ai

omnigent

Open-source meta-harness over Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and custom agents: swap harnesses without rewriting, enforce policies and sandboxes, follow sessions from any device.

7,522 1,074 Python Apache-2.0updated today
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Curator's take

Use when you run several coding harnesses and want one control plane: mix agents in a session, gate risky actions with policies, run in Modal/Daytona/E2B/K8s sandboxes, and pick a session up from phone or browser. Team sharing (co-drive, fork) is a real differentiator. NOT if you live in one CLI on one laptop — it's a server + desktop app stack, and it's alpha; expect churn. Apache-2.0.

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README.md

Omnigent

The open-source meta-harness for all your AI agents.

Omnigent is an open-source meta-harness that gives you a common orchestration layer over Claude Code, Codex, Cursor, OpenCode, Hermes, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device — terminal, browser, phone, or the native desktop app.

PyPI version License: Apache 2.0 Discord Status: alpha

omnigent.ai · ⬇️ Download the macOS desktop app

The Omnigent desktop app: starting a new session, with pinned and project-grouped sessions in the sidebar

Why Omnigent?

Omnigent lets you:

  • 📱 Work with agents from any device, including your phone. Sessions follow you: start in your terminal, continue in the browser, pick it up on your phone. Messages, sub-agents, terminals, and files stay in sync.

  • 🤖 Supervise multiple agents. Mix Claude Code, Codex, Cursor, OpenCode, Hermes, Pi, and custom agents (defined in YAML) together in the same session. Ask one agent to review another's work, or split a task across agents that are each good at different things.

  • 🔌 Use any model. A first-party API key, a Claude/ChatGPT subscription, or any compatible gateway. All first-class.

  • 🤝 Collaborate. Share a session so teammates can chat with your agent and watch it work live, co-drive it on your machine, or fork the conversation to continue on their own.

  • ☁️ Run agents in cloud sandboxes. No laptop required: run sessions in disposable Modal, Daytona, Islo, E2B, CoreWeave, Kubernetes, OpenShell, Boxlite, or Databricks sandboxes, launched from the CLI or provisioned by the server per session (managed hosts).

  • 🛡️ Govern your agents. Create policies to pause for your approval before risky actions, cap spend, or limit which tools an agent reaches. They apply to the whole server, one agent, or a single chat.

Quick start

1. Install

One command installs Omnigent and everything it needs:

curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh
Optional integrations and extras

Need an optional integration? Pass one or more extras to the installer:

curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh -s -- --extra databricks
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh -s -- --extra modal,e2b

Available user-facing extras include:

  • Model providers: databricks, bedrock, vertex
  • Sandbox providers: modal, daytona, boxlite, cwsandbox, e2b, openshell, kubernetes
  • SDK harnesses: antigravity, copilot, cursor, agents-sdk
  • Storage and memory: s3, hindsight
Pref

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