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. Use Claude Code, Codex, 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, or Islo 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

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

brew install omnigent-ai/tap/omnigent

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

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

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 and a dock badge — download it for macOS.

Or launch a specific agent runtime, or your own agent:

omnigent claude                      # Claude Code, in a session your team can join
omnigent codex                       # Codex
omnigent run path/to/agent.yaml      # your own agent (see "Write your own agent")

🐙 Polly and 🟠🔵 Debby

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

omnigent run examples/polly/
omnigent run examples/debby/

# Run an orchestrator on a different harness (sub-agents keep their own):
omnigent run examples/polly/ --harness pi
omnigent run examples/debby/ --harness openai-agents
omnigent run examples/polly/ --harness cursor  # Cursor CLI (needs cursor-agent + CURSOR_API_KEY)

🐙 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.)

Prefer the browser? Start a server and register your machine as a host:

omnigent server start   # start the local server and web UI in the background
omnigent host           # (separate terminal) register this machine as a host

In the web UI, hit New Chat, pick your machine, and go. Check status with omnigent server status; stop everything with omnigent stop.

3. Choose & switch models

Add a credential, set a default, or remove one, grouped by agent. Omnigent works with four kinds of credentials:

Defaults are per agent, so a Claude default and a Codex default coexist. You can also switch models in the middle of a session with the /model command.

4. Deploy a server (and use it from your phone📱)

Run Omnigent on a server with a stable URL (deploy/README.md is the full guide) and your sessions become reachable from anywhere, including your phone. The web UI is built for mobile, so you get the same chat, sub-agents, terminals, and files, in sync with your laptop.

One docker compose up runs the server on any host you have (a VPS, a home server); Render deploys with one click; Fly.io, Railway, Hugging Face Spaces, and Modal are covered too. The server can also provision a cloud sandbox per session (managed hosts), so no laptop has to stay online. The full menu of targets, the database options, and the sandbox setup live in deploy/README.md.

Once the server is up, sign in and register your laptop as a host:

omnigent login https://your-host    # sign in once; run / attach / host reuse the token
omnigent host  https://your-host    # new sessions can now run on this machine

5. Collaborate with your team

Omnigent supports multi-user accounts, controlled by one environment variable:

OMNIGENT_AUTH_ENABLED=1 omnigent server start

The Docker deploy in step 4 turns it on for you (OMNIGENT_AUTH_ENABLED defaults to 1 there).

Invite your teammates

Open the web UI (http://localhost:6767 locally, or your host's URL) and sign in as admin; first run prints the password and saves it locally. Then open Admin → Members → Invite to create a single-use invite link, no email server needed. Send it over; your teammate opens it, sets a password, and they're in. Signup is invite-only.

Code together

• Share a live session. Hit Share in the web UI and send the link; teammates watch your agent work and chat with it in real time.

• Co-drive. A teammate co-attaches to your running session; their messages execute on your machine. Great for pairing or handing the keyboard to a domain expert mid-investigation.

  omnigent attach <session_id>

• Fork. Clone a conversation onto your own machine and continue independently from the fork point.

  omnigent run --fork <session_id>

6. Govern your agents with policies

Policies decide what an agent may do: run shell commands, edit files, spend tokens. They check every action and either allow it, block it, or pause to ask you first.

• In the web UI: open a session's info panel to browse the available policies and toggle them on or off.
• In chat: ask. "Add a policy that asks me before running shell commands." The agent sets it up for you.

Want defaults that apply to everyone, or to a specific agent? Define them in your server config or an agent's YAML:

policies:
  approve_shell:
    type: function
    handler: omnigent.policies.builtins.safety.ask_on_os_tools   # ask before shell / file writes
  cap_calls:
    type: function
    handler: omnigent.policies.builtins.safety.max_tool_calls_per_session
    factory_params:
      limit: 50                    # cap how many tools one session can call
  budget:
    type: function
    handler: omnigent.policies.builtins.cost.cost_budget
    factory_params:
      max_cost_usd: 5.00           # hard spend cap...
      ask_thresholds_usd: [3.00]   # ...with a soft warning on the way

Policies stack across three levels, server-wide (admin), per-agent (developer), and per-session (you), with the stricter session rules checked first. Spend caps and access limits ship as builtins.

See the policy guide for the full catalog and trust model.

Write your own agent

An agent is a short YAML file: your prompt, your tools, and optional helper sub-agents a supervisor can delegate to. You don't have to write it by hand: agents can build agents, so describe the agent you want in any Omnigent chat and it authors the file for you.

name: my_agent
prompt: You are a helpful data analyst.

executor:
  harness: claude-sdk          # or: codex, codex-native, claude-native, cursor, openai-agents, pi, antigravity

tools:
  # A local Python function (schema auto-generated from the signature)
  word_count:
    type: function
    callable: mypackage.mymodule.word_count

  # A sub-agent the supervisor can delegate to
  researcher:
    type: agent
    prompt: Search for relevant information and summarize it.
    tools:
      word_count: inherit

Run it with:

omnigent run path/to/my_agent.yaml

The same file can declare sub-agents and reviewers. For a fuller example, see Polly at examples/polly/, and the Agent YAML spec for the full schema.

Contributing

Contributions are welcome. See CONTRIBUTING.md for how to set up your environment, run the checks, and open a pull request.