omnigent
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, an...
Source#
- Repository: omnigent-ai/omnigent
- Last source update: 2026-07-12
- Last verified: 2026-07-12
Tags#
Integration notes#
Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: omnigent-repo-derived-worker
name: omnigent Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/omnigent/
source_repository: https://github.com/omnigent-ai/omnigent
repository_default_branch: main
repository_language: Python
repository_license: Apache-2.0
repository_updated_at: 2026-07-12
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-07-12
tags:
- agent-framework
- agent-governance
- agent-orchestration
- agents
- ai
- ai-agent
---
# omnigent Repo-Derived Worker
## Repo-derived summary
- Registry summary: 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, an...
- Repository description: 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.
- Stars (snapshot): 7,099
- Primary language: Python
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/omnigent-ai/omnigent
- https://github.com/omnigent-ai/omnigent/blob/main/README.md
- https://img.shields.io/pypi/v/omnigent.svg
- https://omnigent.ai
- https://omnigent.ai/download/mac
## Evidence notes (from repository text)
- README summary paragraph: 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.
- ### The open-source meta-harness for all your AI agents.
- - **📱 Work with agents from any device, including your phone.** Sessions
- 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
## Installation hints found in README
- `pip install "omnigent"`
- `uv tool install omnigent # or: pip install "omnigent"`
- `uv tool install -q --python 3.12 git+https://github.com/omnigent-ai/omnigent.git`
- `uv tool install "omnigent[databricks]"` — or pass it to the bootstrap`
## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"task",
"context"
],
"properties": {
"run_id": {
"type": "string"
},
"task": {
"type": "string"
},
"context": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"status",
"result"
],
"properties": {
"run_id": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"result": {
"type": "object"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
omnigent-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/omnigent/
Source URL: https://github.com/omnigent-ai/omnigent