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Omnigent
Omnigent is an open-source meta-harness for AI agents. It provides a common layer over Claude Code, Codex, Pi, and custom agents, with shared sessions, contextual policies, local and cloud sandboxing, model and credential configuration, real-time collaboration, and multiple interfaces.
- Authority
- 51 reach 6 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://omnigent.ai/llms.txt
- llms-full.txt
- https://omnigent.ai/llms-full.txt
- Sections
- 11
- Links
- 81
- Size
- 14984 bytes
- Popularity rank
- #718498
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T17:54:32.770Z
- Last checked
- 2026-10-25T23:36:59.697Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T23:36:55.870Z. Cached copy · Source on omnigent.ai
# Omnigent
> Omnigent is an open-source meta-harness for AI agents. It provides a common layer over Claude Code, Codex, Pi, and custom agents, with shared sessions, contextual policies, local and cloud sandboxing, model and credential configuration, real-time collaboration, and multiple interfaces.
Use this file to find the most relevant Omnigent documentation for coding agents, custom agents, deployment, collaboration, policies, sandboxing, and end-user interfaces.
For a single-file expanded context, use [llms-full.txt](https://omnigent.ai/llms-full.txt).
## Quickstart
- [Tutorial: Coding Agent](https://omnigent.ai/quickstart/coding-agent): Tutorial: see what Omnigent adds on top of Claude Code or Codex, including a web UI, mobile access, session sharing, and forking a session into a different agent.
- [Tutorial: Collaborate from Anywhere](https://omnigent.ai/quickstart/collaborate): Tutorial: deploy a server to access agents from your phone, share live sessions with teammates, and run agents on cloud sandbox hosts.
- [Install](https://omnigent.ai/quickstart/install): Install the Omnigent CLI with the installer script, uv, pip, or Homebrew, or download the desktop app.
- [Tutorial: Contextual Policies](https://omnigent.ai/quickstart/policies): Tutorial: attach context-aware policies to a live session to warn on spend, pause for approval, or block risky actions, with no code required.
- [Tutorial: Polly (Multi-AI Coding)](https://omnigent.ai/quickstart/polly): Tutorial: see Polly in practice, a multi-agent coding orchestrator that delegates sub-tasks across AI agents with built-in cross-vendor review.
## Agent Use Cases
- [Built-in Multi-AI Agents](https://omnigent.ai/docs/use/builtin-agents): Omnigent ships with multi-agent orchestrators that combine different AI agents into a single workflow, ready to run out of the box.
- [Debby](https://omnigent.ai/docs/use/builtin-agents/debby): Debby asks two models the same question and runs a multi-round debate where each critiques and refines the other's answer.
- [Polly](https://omnigent.ai/docs/use/builtin-agents/polly): Polly is a supervisor that delegates sub-tasks to sub-agents on separate harnesses and worktrees, with cross-agent review and human-decided merges.
- [Coding Agents](https://omnigent.ai/docs/use/coding-agents): Run Claude Code or Codex through Omnigent with one command and get a web UI, persistent sessions, collaboration, mobile, and policies.
- [Custom Agents](https://omnigent.ai/docs/use/custom-agents): Define a custom agent in a short YAML file, with no code or frameworks, and get the full Omnigent platform around it.
## Harnesses
- [Harnesses](https://omnigent.ai/docs/build/harnesses): Understand the runtime layer that executes your agent loop and how to launch or select a harness.
- [Community Harnesses](https://omnigent.ai/docs/build/harnesses/community): Package and register a new Omnigent harness as a community plugin.
- [Configuration](https://omnigent.ai/docs/build/h
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