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omnigent
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omnigent

Active·★ 11.0k·Apache-2.0·Updated 2026-10-22
★ Most Popular

Omnigent calls itself an open-source meta-harness: a common orchestration layer over agent harnesses such as Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and agents you define yourself. The README says you can swap or combine harnesses without rewriting, enforce policies and sandboxing, and work with the same session from a terminal, a browser, a phone or a native desktop app, with messages, sub-agents, terminals and files kept in sync.

Its pitch has five parts. You can supervise several agents in one session and ask one to review another's work, with custom agents defined in YAML. You can use any model through a first-party API key, a Claude or ChatGPT subscription or a compatible gateway. Sessions can be shared so teammates watch live, co-drive or fork the conversation. Agents can run in disposable cloud sandboxes from Modal, Daytona, Blaxel, E2B, CoreWeave, Kubernetes, Databricks and others, launched from the CLI or provisioned by the server per session. Policies can pause for your approval before risky actions, cap spend or limit which tools an agent can reach, at server, agent or chat level.

Install with a one-line script (`curl ... | sh`), with `uv tool install omnigent` or pip on Python 3.12+, or with Homebrew; optional extras add providers such as Bedrock and Vertex, sandbox providers and storage. A macOS desktop app is offered. It is Apache-2.0 licensed and the last push was 2026-10-15. This review is based on the README and repository data; we have not run it ourselves.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-16.

License
Apache-2.0
Latest release
v0.18.0 · 2026-10-13
Last commit
2026-10-16
Contributors
280
Forks
1,756
Open issues and PRs
2,137
First published
2026-06-11

Source: GitHub, npm and PyPI public APIs.

#AI Agent Orchestration#Multi-Agent System#LLM Harness#Cloud Sandbox#Policy Management#Real-time Collaboration#Cross-device Sync#Developer Tool
$ Install
$ curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh
↗ Visit site★ GitHub
01

Features

01Cross-device agent interaction (terminal, browser, phone)
02Multi-agent supervision and combination from various vendors
03Secure execution in disposable cloud sandboxes
04Granular policy enforcement for agent actions and spending
05Real-time team collaboration with session sharing and co-driving
02

Why choose it

+One orchestration layer over Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and YAML-defined custom agents
+Sessions continue across terminal, browser, phone and desktop app, and can be shared with teammates
+Policies can pause for approval before risky actions, cap spend or limit tools, at server, agent or chat level
+Cloud sandbox options (Modal, Daytona, E2B, Kubernetes and more); Apache-2.0 licensed
03

Trade-offs

!The recommended install pipes a script from the internet into sh; review it first or use the uv, pip or Homebrew routes
!A large surface to learn: harnesses, policies, managed hosts and many sandbox and provider extras
!Running several agents at once, or in the cloud, multiplies model and sandbox costs unless you set spend caps
!Requires Python 3.12 or newer
04

Maintenance check

ActiveChecked: 2026-10-22
Last commit
2026-10-22
Commits, last 90 days
100+
Releases, last 90 days
16
Latest release
v0.19.1 (2026-10-21)
Open issues
2359
Recent issues with at least one comment
13/14

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

05

Compatibility

Python
Runtime
Verified via docs
MacOS
OS
Verified via docs
Linux
OS
Verified via docs
Windows
OS
Verified via docs
Docker
Deployment
Verified via docs
Modal
Sandbox
Verified via docs
06

Quick start

1
$ curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh
07

Use cases

↳Orchestrating complex development or research tasks with multiple specialized AI agents.
↳Collaboratively brainstorming ideas and receiving multi-perspective critiques from different LLMs.
↳Running and supervising AI agents in secure, disposable cloud environments.
↳Enforcing governance and cost controls over AI agent activities in team settings.
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
omnigent-ai /
omnigent
↗

Apache-2.0 meta-harness that orchestrates Claude Code, Codex, Cursor, OpenCode and custom agents, with policies, cloud sandboxes and live collaboration

11.0k1.8kApache-2.0
Last commit1d ago
StatusActive
CategoryMulti-Agent
Contributors280
Latest releasev0.18.0
Links
Documentation↗Discussion↗Issues↗Releases↗
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