AI agent orchestration / meta-harness
Omnigent is an open-source Python meta-harness that orchestrates multiple AI coding agents (Claude Code, Codex, Cursor, etc.) in one session, with policy/sandbox enforcement and cross-device collaboration.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose it when you want a lighter pure-CLI workspace for mixing Codex/Claude/Gemini etc. without Omnigent's policy/sandbox/collaboration stack.
Visible multi-agent CLI workspace for mixing Codex, Claude, Gemini, Kimi, Qwen, Cursor, Copilot, Pi, OpenCode, and other AI coding agents
Choose it when you want a Rust-based TUI/Web manager for the same coding agents and care more about mobile access than Omnigent's governance layer.
Manage multiple Claude Code, OpenCode agents from either TUI or Web for easy access on mobile. Also supports Mistral Vibe, Codex CLI, Gemini CLI, Pi.dev, Copilot CLI, Factory Droid Coding.
Choose it when you want a TypeScript/MIT ADE optimized for parallel agent fleets on desktop/mobile/VPS rather than Omnigent's Python/Apache-2.0 governance platform.
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.
Choose it when you want a Go/AGPL terminal multiplexer for the same coding-agent CLIs instead of Omnigent's Python meta-harness.
Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.
These projects were analysed and named omnigent among their alternatives. The relationship is not symmetric — how omnigent rates them is a separate judgement, made when omnigent is analysed in its own right.
calls omnigent “Meta-harness that orchestrates existing CLI agents like Claude Code and Codex; pick when you need to manage multiple commercial agents from one place.”
The agent that grows with you
calls omnigent “when you want to orchestrate existing CLI agents (Claude Code, Codex) via a meta-harness rather than building custom sub-agents from scratch.”
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
calls omnigent “Meta-harness orchestrating external CLIs (Claude Code, Codex); use when you need to manage multiple coding agents.”
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
calls omnigent “choose if you need to orchestrate and swap multiple existing CLI agent harnesses with policy enforcement, rather than using a single built-in harness.”
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
calls omnigent “choose it if you need to orchestrate external agent harnesses (Claude Code, Codex, etc.) rather than build graph state machines.”
Build resilient agents.
calls omnigent “choose when you need a broader agent framework with policy/sandboxing and harness swapping.”
the runtime your coding agents live on
calls omnigent “Meta-harness that orchestrates multiple agent backends; choose it when you need to swap or centrally manage different harnesses.”
The batteries-included agent harness.
calls omnigent “Choose when you want a meta-harness to orchestrate multiple existing agent harnesses without rewriting your own agents.”
A lightweight, powerful framework for multi-agent workflows
calls omnigent “choose when you need to orchestrate existing CLI/harness agents rather than build them from scratch.”
Integrate cutting-edge LLM technology quickly and easily into your apps
calls omnigent “meta-harness for orchestrating existing CLI agents like Claude Code/Codex; choose to unify multiple external agent tools.”
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
calls omnigent “orchestrates external CLI agents rather than letting you build agents directly.”
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
calls omnigent “programmatic framework/meta-harness for orchestrating agents; choose when you need to embed orchestration in code with sandboxing/policies, not an end-user app.”
Orchestrate multiple coding agents from desktop and mobile
calls omnigent “choose if you need a framework to build custom agent orchestration rather than a ready-made IDE.”
Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscription.
calls omnigent “choose if you must orchestrate multiple existing agent CLIs under one policy/sandbox layer.”
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
calls omnigent “Use when you want a programmable framework/meta-harness to embed agent orchestration in your own system rather than a ready-made IDE.”
Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents.
calls omnigent “Python meta-harness that orchestrates external agent CLIs; choose if you want to manage existing coding agents without building them.”
Agentic AI Framework for Java Developers
calls omnigent “choose when you want to swap Claude Code, Codex and Cursor harnesses under one policy and sandboxing layer”
Autonomous AI development loop for Claude Code with intelligent exit detection
calls omnigent “Meta-harness that orchestrates existing agents (Claude Code, Codex); choose if you manage multiple agent harnesses.”
Build effective agents using Model Context Protocol and simple workflow patterns
calls omnigent “choose when you need a customizable meta-harness with policies and sandboxing while still orchestrating Claude Code/Codex.”
Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.
calls omnigent “when you need to orchestrate existing external agent CLIs/harnesses and enforce policies at a meta level”
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai