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.
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Install pipes a remote script into a shell (curl | sh)
git clone https://github.com/omnigent-ai/omnigent && cp omnigent/*.md ~/.claude/agents/24 items in this repository
Spin up a live local Omnigent server and exercise the Antigravity (Gemini) SDK harness end-to-end — build antigravity agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the antigravity harness (omnigent/inner/antigravity_executor.py, antigravity_harness.py, omnigent/onboarding/antigravity_auth.py) or its auth / model / tool-bridge behavior.
Spin up a live local Omnigent server and exercise the Cursor SDK harness end-to-end — build cursor agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the cursor harness (omnigent/inner/cursor_executor.py, cursor_harness.py, cursor_auth.py) or its auth / model / tool-bridge behavior.
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack for a new platform.
Have the Claude and GPT partners critique each other's answers across a configurable number of rounds (default 1) before converging on a synthesis. Use when the user wants the two perspectives stress-tested against each other, not just shown side by side.
Verify an implementer's diff with an INDEPENDENT, different-vendor sub-agent (diff plus contract only); turn blocking issues into fix-tasks and loop until clean.
Run independent subtasks in parallel — one git worktree and one implementation sub-agent per task, each opening its own PR — then cross-review every PR. polly never merges; the human does.
Delegate read-only investigation, debugging, audit, search, or code-understanding tasks to sub-agents; synthesize only from their structured reports.
Patterns and templates for generating valid Omnigent agent directories. Load when ready to create files.
Detect Python agent frameworks from code imports and map them to Omnigent executor types. Load when the user has existing agent code to integrate.
Deep reference on Omnigent config format, executor types, skill/tool structure, and conventions. Load when you need to look up how the platform works.
Test counter — codex skills e2e. The unique suffix b8d4e7 appears in the skill name so a string match in the agent's output proves codex loaded this skill.
Test greeter — codex skills e2e. The unique suffix a3f9c2 appears in the skill name so a string match in the agent's output proves codex loaded this skill.
Test counter — pi skills e2e. The unique suffix d2f6e1 appears in the skill name so a string match in the agent's output proves Pi loaded this skill.
Test greeter — pi skills e2e. The unique suffix c4a8d5 appears in the skill name so a string match in the agent's output proves Pi loaded this skill.
Spin up a live local Omnigent server and exercise the GitHub Copilot SDK harness end-to-end — build copilot agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the copilot harness (omnigent/inner/copilot_executor.py, copilot_harness.py, omnigent/onboarding/copilot_auth.py) or its auth / model / tool-bridge behavior.
Document a module or public API surface (functions, classes, CLI commands, endpoints) from the code itself. Use when the user asks for API reference, to document a module, or to write usage docs for a public interface.
Turn a breaking change (an API rename, removed flag, changed default, or moved module) into concrete upgrade steps with before/after examples. Use when the user asks how to migrate, upgrade, or adapt to a breaking change.
Verify the Omnigent CLI's setup/onboarding flow, terminal UI/UX, and critical user journeys in a completely isolated, reproducible loop. Drives the real `omnigent` binary through a PTY (pexpect) inside a throwaway OMNIGENT_CONFIG_HOME / OMNIGENT_DATA_DIR sandbox that never touches the user's real ~/.omnigent, captures ANSI-stripped frames for UX inspection, and proves a change is verifiable via a before→fix→after baseline diff. Load when developing or reviewing a CLI setup/onboarding/REPL/picker change (omnigent/cli.py, omnigent/onboarding/*, omnigent/repl/*, scripts/install_oss.sh), reproducing a cold-start/first-run UX bug, or confirming a fix actually lands. Several agents can run it concurrently on separate worktrees.
Spin up a live local Omnigent server + runner and exercise the native Antigravity (agy) TUI harness (antigravity-native) end-to-end — launch the real `agy` CLI via `omnigent antigravity`, drive turns through the web UI, smoke-test, and bug-bash. Load when developing, testing, or debugging the antigravity-native harness (omnigent/inner/antigravity_native_executor.py, omnigent/antigravity_native.py, antigravity_native_bridge.py, antigravity_native_rpc.py, antigravity_native_reader.py, antigravity_native_launch.py) or its agy launch / RPC mirror / tmux delivery / OAuth / MCP-relay behavior. NOT the in-process `antigravity` Gemini SDK harness.
Reference guide for building new Omnigent harness integrations — covers SDK/subprocess harnesses and native harnesses as separate tracks, each with their own feature matrix, implementation patterns, and prioritized checklist.
Spin up a live local Omnigent server + runner and exercise the native Pi TUI harness (pi-native) end-to-end — launch the real `pi` CLI via `omnigent pi`, drive turns through the web/bridge, smoke-test, and bug-bash. Load when developing, testing, or debugging the pi-native harness (omnigent/inner/pi_native_executor.py, pi_native_harness.py, omnigent/pi_native.py, pi_native_bridge.py, pi_native_credentials.py) or its bridge / extension / auth / model behavior.
End-to-end test the polly multi-agent coding orchestrator's critical user journeys (CUJs). Two halves — a deterministic mock-LLM driver (polly_cuj.py) that boots a throwaway local server + mock LLM and asserts the substrate (boot, bridged sys_* tool dispatch, the blast_radius / spawn_bounds / headless_subagent_purpose_guard guardrails, fan-out delegation), and a live real-CLI recipe (real claude/codex/pi, real worktrees/PRs) for polly's actual judgment. Load when developing, testing, or debugging examples/polly — its config.yaml, the claude_code/codex/pi sub-agents, the investigate/fanout/cross-review skills, or the omnigent.inner.nessie.policies guardrails — or reproducing a polly orchestration bug.
Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix.
Subagents overview
<div align="center">
# <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.
[](https://pypi.org/project/omnigent/)
[](https://github.com/omnigent-ai/omnigent/blob/main/LICENSE)
[](https://discord.gg/omnigent)

[omnigent.ai](https://omnigent.ai) · **[⬇️ Download the macOS desktop app](https://omnigent.ai/download/mac)**
</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>
---
## 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](https://modal.com), [Daytona](https://www.daytona.io),
[Blaxel](https://blaxel.ai),
[Islo](https://islo.dev), [E2B](https://e2b.dev),
[Gensee](https://gensee.ai),
[CoreWeave](https://docs.coreweave.com/products/sandboxes),
[Kubernetes](https://kubernetes.io), [OpenShell](https://github.com/NVIDIA/OpenShell),
[Boxlite](https://github.com/boxlite-ai/boxlite),
[microsandbox](https://github.com/superradcompany/microsandbox), or
[Databricks](https://www.databricks.com) sandboxes, launched from the
CLI or provisioned by the server per session (*managed hosts*).
- **🛡️ Govern your agents.** Create
[policies](#6-govern-your-agents-with-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
```
<details>
<summary>Optional integrations and extras</summary>
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 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`, `blaxel`, `boxlite`, `microsandbox`,
`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:
```bash
uv tool install omnigent # or: pip install "omnigent"
```
Manual installs use the same extras syntax, for example:
```bash
uv tool install "omnigent[databricks,modal]"
```
Or with [Homebrew](https://github.com/omnigent-ai/homebrew-tap):
```bash
brew install omnigent-ai/tap/omnigent
```
For source builds on networks that require package mirrors, replace these example
URLs with your mirrors:
```bash
HOMEBREW_PIP_INDEX_URL='https://pypi.example.com/simple' \
HOMEBREW_CARGO_INDEX_URL='https://cargo.example.com/index/' \
brew install --build-from-source omnigent-ai/tap/omnigent
```
The PyPI setting also routes pip's isolated build dependencies through the mirror.
The Cargo setting takes a sparse registry index URL ending in `/`, without the
`sparse+` prefix. Both overrides are optional and do not affect prebuilt-bottle
installs.
Or install straight from the repo:
```bash
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`.
- **Devin CLI** (optional), for `omnigent devin`: install with
`curl -fsSL https://cli.devin.ai/install.sh | bash`, then sign in with
`devin auth login`. Devin tool approvals appear as Chat approval cards
(its `PermissionRequest` hook is mirrored to the web UI) and stay
answerable in the embedded Terminal. See `docs/devin-native.md`.
- **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`, `devin`, `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](https://docs.databricks.com/aws/en/dev-tools/cli/install).
</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:
```powershell
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:
```bash
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:
```bash
omnigent uninstall
```
Remove the CLI and installer-managed PATH entries while keeping your local
history, credentials, and projects:
```bash
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`.
```bash
omnigent uninstall --purge --yes
```
If the installed wheel is broken oWhat people ask about omnigent
What is omnigent-ai/omnigent?
+
omnigent-ai/omnigent is subagents for the Claude AI ecosystem. 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. It has 10k GitHub stars and its last recorded update is dated 2026-09-16.
How do I install omnigent?
+
You can install omnigent by cloning the repository (https://github.com/omnigent-ai/omnigent) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is omnigent-ai/omnigent safe to use?
+
Our security agent has analyzed omnigent-ai/omnigent and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains omnigent-ai/omnigent?
+
omnigent-ai/omnigent is maintained by omnigent-ai. The last recorded GitHub activity is dated 2026-09-16, with 1369 open issues.
Are there alternatives to omnigent?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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