# Omnigent — Open-Source AI Agent Orchestration and Meta-Harness

> Open-source framework for orchestrating multiple AI coding agents across harnesses with policy enforcement, sandboxing, and real-time collaboration.

## Install

Save as a script file and run:

# Omnigent — Open-Source AI Agent Orchestration and Meta-Harness

## Quick Use
```bash
pip install omnigent
omnigent init --harness claude-code
omnigent run "Refactor the authentication module"
```

## Introduction
Omnigent is an open-source AI agent framework that acts as a meta-harness, letting you orchestrate agents from different providers (Claude Code, Codex, Cursor, and others) through a unified interface. It adds governance, sandboxing, and collaboration capabilities on top of existing agent runtimes.

## What Omnigent Does
- Orchestrates multiple AI coding agents from a single control plane
- Enforces policies and permissions across all agent actions
- Provides sandboxed execution environments for safe code generation
- Enables real-time collaboration between human developers and AI agents
- Swaps between different agent harnesses without rewriting workflows

## Architecture Overview
Omnigent sits between the user and one or more agent harnesses, intercepting tool calls and applying policy checks before execution. It uses a plugin architecture where each supported harness (Claude Code, Codex, etc.) is a swappable backend. A shared state layer enables multi-agent coordination on the same codebase.

## Self-Hosting & Configuration
- Install via pip with Python 3.10+
- Configure agent backends through a YAML manifest file
- Define policy rules for file access, network, and command execution
- Set up team roles and permissions for collaborative sessions
- Deploy the coordination server with Docker for multi-user setups

## Key Features
- Meta-harness design decouples workflows from any single agent provider
- Policy engine enforces guardrails on file writes, shell commands, and network access
- Sandboxed execution prevents accidental damage to production codebases
- Multi-agent mode coordinates parallel agents working on different tasks
- Real-time dashboard shows agent activity and resource usage

## Comparison with Similar Tools
- **Claude Code** — single-agent CLI; Omnigent orchestrates it alongside others
- **CrewAI** — multi-agent framework focused on role-based collaboration
- **AutoGen** — Microsoft's multi-agent conversation framework
- **LangGraph** — graph-based agent orchestration for LangChain
- **OpenHands** — standalone AI coding agent without cross-harness support

## FAQ
**Q: Which agent harnesses does Omnigent support?**
A: Currently supports Claude Code, OpenAI Codex, Cursor, Pi, and custom agents via the plugin system.

**Q: Does Omnigent add latency to agent operations?**
A: Policy checks add minimal overhead (typically under 10ms per tool call). The agent runtime itself is the primary latency source.

**Q: Can I use it for non-coding tasks?**
A: Yes. The orchestration layer works with any agent that uses a tool-calling interface, including research and data analysis agents.

**Q: Is there a hosted version?**
A: Omnigent is self-hosted only. The project focuses on giving teams full control over their agent infrastructure.

## Sources
- https://github.com/omnigent-ai/omnigent

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Source: https://tokrepo.com/en/workflows/asset-f030a3bd
Author: Script Depot