omnigent-ai /omnigent

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

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README

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, Goose, Antigravity, GitHub Copilot, Devin, Kiro, Qwen Code, Kimi Code, Grok Build, Jcode, Hermes, Pi, OpenAI Agents / Open Responses, 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.




!Status: alpha

omnigent.ai · ⬇️ Download the macOS desktop app




  


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 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,
  Goose, Antigravity, GitHub Copilot, Devin, Kiro, Qwen Code, Kimi Code, Grok
  Build, Jcode, Hermes, Pi, OpenAI Agents / Open Responses, 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,
  Blaxel,
  Islo, E2B,
  Gensee,
  CoreWeave,
  Kubernetes, OpenShell,
  Boxlite,
  microsandbox, 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:

bash
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh


The installer includes Databricks support and installs the Databricks CLI
alongside Omnigent, or reuses an existing CLI that supports workspace login.
Pass --no-databricks to omit them.


Optional integrations and extras

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

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


The Antigravity SDK extra conflicts with Databricks dependencies. Install it
with --no-databricks --extra antigravity.

Available user-facing extras include:

- Model providers: databricks (included by default), bedrock, vertex
- Sandbox providers: modal, daytona, blaxel, boxlite, microsandbox,
 

Snapshot: 2026-11-04T14:00:00Z · Data license Apache-2.0 · JSON