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<img src="https://raw.githubusercontent.com/omnigent-ai/omnigent/main/docs/images/omnigent-logo.svg" alt="" height="38" valign="middle" /> 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.

omnigent.ai · ⬇️ Download the macOS desktop app

</div> <p align="center"> <img src="https://raw.githubusercontent.com/omnigent-ai/omnigent/main/docs/images/omnigent-desktop.png" alt="The Omnigent desktop app: starting a new session, with pinned and project-grouped sessions in the sidebar" width="720" /> </p>

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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, 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.

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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

<details> <summary>Optional integrations and extras</summary>

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

</details> <details> <summary>Prefer to install manually?</summary>

Omnigent needs Python 3.12+. Install the omnigent package:

uv tool install omnigent        # or: pip install "omnigent"

Manual installs use the same extras syntax, for example:

uv tool install "omnigent[databricks,modal]"

Or with Homebrew:

brew install omnigent-ai/tap/omnigent

Or install straight from the repo:

uv tool install -q --python 3.12 git+https://github.com/omnigent-ai/omnigent.git

</details> <details> <summary>Toolchain and prerequisites (if the installer reports a missing tool)</summary>

• uv (required). https://docs.astral.sh/uv/getting-started/installation/ The installer offers to set this up for you.
• git (required).
• Node.js 22 LTS or newer with npm (for the coding-harness CLIs installed by omnigent run) and pnpm (for the web UI). You can get both from a single Node install; pnpm is available via corepack enable or npm install -g pnpm.
• Kiro CLI (optional), for omnigent kiro: install with curl -fsSL https://cli.kiro.dev/install | bash, then sign in with Kiro. Kiro tool approvals stay answerable in the embedded Terminal; supported one-time approvals also appear as Chat cards. See docs/kiro-native-elicitation.md.
• tmux, required by the native omnigent <harness> terminal wrappers (claude, codex, cursor, hermes, kiro, pi) (brew install tmux / apt install tmux; the installer offers to install it for you).
• bubblewrap (bwrap), Linux only. The native omnigent <harness> terminal wrappers and the pi harness wrap each agent terminal in a bwrap OS-sandbox; on Linux that isolation is mandatory, so a missing bwrap binary makes those terminals fail to start (apt install bubblewrap; the installer offers to install it for you). macOS uses the built-in seatbelt sandbox and needs nothing extra.
• Databricks (optional). To use a Databricks workspace as your model provider, install Omnigent with the databricks extra: uv tool install "omnigent[databricks]" — or pass it to the bootstrap installer with ... | sh -s -- --extra databricks. Signing in to the workspace also uses the Databricks CLI.

</details> <details> <summary>Windows (native)</summary>

Omnigent runs natively on Windows in a degraded mode. The install_oss.sh bootstrap is POSIX-only, so install with uv directly:

uv tool install --python 3.12 omnigent
# or from the repo:
uv tool install --python 3.12 git+https://github.com/omnigent-ai/omnigent.git

What works on Windows: omnigent server, the web UI, and the SDK-based harnesses (omnigent run <agent.yaml> with the claude-sdk / cursor / codex harnesses). Agents run under a Windows Job Object for process-tree containment.

What is not available on Windows (use Linux/macOS, or WSL, for these):

• the native omnigent claude / omnigent codex / omnigent cursor tmux/PTY terminal wrappers (run an SDK harness or the web UI instead);
• bwrap/seatbelt filesystem & network sandboxing and the L7 egress proxy — the Job Object backend contains the process tree and enforces resource limits but does not isolate the filesystem or network.

</details> <details> <summary>Updating to a new release</summary>

When a newer release is on PyPI, Omnigent shows a one-line notice (once per release) pointing here. To update:

omni upgrade            # detects how you installed, drains & stops the local
                        # server, then runs the matching upgrade command
omni upgrade --check    # just report whether a newer release is available

omni upgrade waits for in-flight agent sessions to finish before stopping the local server (pass --force to stop them immediately); the next omni command brings the server back up on the new version. Source checkouts update with git pull instead. Silence the notice with OMNIGENT_NO_UPDATE_CHECK=1.

The check queries your configured package index — honoring UV_INDEX_URL / PIP_INDEX_URL and your uv.toml / pip.conf (default PyPI), so private mirrors work out of the box; override with OMNIGENT_INDEX_URL if needed.

</details> <details> <summary>Uninstalling Omnigent</summary>

Preview the CLI/profile cleanup that would run by default:

omnigent uninstall

Remove the CLI and installer-managed PATH entries while keeping your local history, credentials, and projects:

omnigent uninstall --yes

To also remove Omnigent state under ~/.omnigent, pass --purge; Omnigent backs it up outside the target before deletion. Your ~/omnigent workspace is kept unless you explicitly add --purge-workspace.

omnigent uninstall --purge --yes

If the installed wheel is broken or omnigent is not on PATH, run the standalone script instead:

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

Add --yes to the standalone script to perform the previewed CLI cleanup.

</details>

2. Start your first agent

omnigent picks a model with you and starts a session in your terminal. It also launches a local web UI at http://localhost:6767 that shows the same session in the browser, or on a phone on your network (step 4). The desktop app wraps that same UI in a native window and adds OS notifications (with a configurable sound) and a dock badge — download it for macOS.

[!NOTE] The install puts two names for the same CLI on your PATH: omnigent and the shorter omni. They're interchangeable.

[!TIP] On first run, Omnigent picks up model credentials already in your environment (an ANTHROPIC_API_KEY / OPENAI_API_KEY, or a claude / codex CLI you're logged into) and offers one as the default.

omnigent

Or launch a specific agent runtime:

omnigent claude                      # Claude Code, in a session your team can join
omnigent codex                       # Codex
omnigent cursor                      # Cursor
omnigent opencode                    # OpenCode
omnigent hermes                      # Hermes Agent (Nous Research)
omnigent pi                          # Pi

Using OpenClaw? See the OpenClaw integration guide to import its coding agents or drive a live OpenClaw Gateway session over ACP.

🐙 Polly and 🟠🔵 Debby

Two example agents ship with the repo, and they make good first sessions:

omnigent run examples/polly/
omnigent run examples/debby/
omnigent run examples/deep-research/

# ...or on a different harness (sub-agents keep their own):
omnigent run examples/polly/ --harness <harness>
omnigent run examples/debby/ --harness <harness>

🐙 Polly is a multi-agent coding orchestrator who writes no code herself. She's the tech lead: she plans, delegates the work to coding sub-agents (Claude Code, Codex, or Pi) in parallel git worktrees, then routes each diff to a reviewer from a different vendor than the one that wrote it. You merge.

🟠🔵 Debby is a brainstorming partner with two heads, one Claude and one GPT. Every question you ask goes to both heads, and she lays the two answers out side by side. Type /debate and the heads critique each other for a few rounds before converging. (She needs both a Claude and an OpenAI credential; see step 3.)

🔎 Deep Research is a single agent that answers a question with a cited, cross-checked report. It plans sub-queries, searches the live web and reads full pages through an MCP search server, and verifies each claim across independent sources. It's also the simplest example to copy from: one agent plus one tools/mcp/*.yaml server, no sub-agents.

Prefer the browser? One command starts the local ser