# omnigent: Orchestrate AI Coding Agents Across Harnesses This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/omnigent-ai-omnigent Generated for open source discovery and AI-assisted research. Omnigent provides a shared orchestration layer for AI coding agents, with policies, sandboxing, and team collaboration. It suits developers who want to combine agent runtimes and access sessions across devices without tying workflows to one harness. GitHub: https://github.com/omnigent-ai/omnigent OSRepos URL: https://osrepos.com/repo/omnigent-ai-omnigent ## Summary Omnigent provides a shared orchestration layer for AI coding agents, with policies, sandboxing, and team collaboration. It suits developers who want to combine agent runtimes and access sessions across devices without tying workflows to one harness. ## Topics - python - ai-agents - agent-orchestration - coding-agent - agent-governance - multi-agent-systems ## Repository Information Last analyzed by OSRepos: Mon Oct 05 2026 14:15:23 GMT+0100 (Western European Summer Time) Detail views: 0 GitHub clicks: 0 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Overview Omnigent is a Python framework and meta-harness for coordinating AI coding agents through a shared interface. It addresses the friction of switching between agent runtimes by letting developers use or combine multiple harnesses, including custom agents, without rewriting their workflows for each one. It also provides a server and web interface for managing sessions across devices, collaborating with teammates, and applying policies to agent actions. Omnigent is most relevant to developers or teams who need to supervise multiple agents, control what they can do, or run sessions on local or cloud hosts. ## Key Features - Orchestrates multiple coding-agent harnesses and custom agents in shared sessions. - Defines custom agents, tools, and sub-agents using YAML. - Applies policies at server, agent, and session levels to allow, block, or request approval for actions. - Runs sessions through a local web UI or a deployed server, with sessions accessible from other devices. - Supports team collaboration through shared sessions, co-driving, and conversation forks. - Connects agents to local or cloud sandbox providers. - Supports API keys, subscriptions, and compatible model gateways. ## Use Cases - A developer who works with several coding agents can switch runtimes or ask one agent to review another's changes. - A team can share a running agent session for collaborative debugging, review, or handoff. - An organization can set action approvals, tool-access limits, or spend policies for agents. - A developer who wants a portable agent workflow can define an agent and its tools in YAML, then run it with a supported harness. - A user who needs to continue work away from their development machine can deploy the server and access sessions from a browser or phone. ## Project Facts - Language: Python - License: Apache-2.0 - Stars: 10.6k - Forks: 1.7k - Topics: agent-framework, agent-governance, agent-orchestration, agents, ai, ai-agent, ai-agents, claude-code, codex, coding-agents, developer-tools, llm, ml, multi-agent, python, sandbox - Archived: false ## Getting Started Install with the project’s bootstrap script: ```bash curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh ``` Then start Omnigent with `omnigent`. See the [README](https://github.com/omnigent-ai/omnigent) for prerequisites, integrations, deployment, and configuration details. ## Alternatives - [claude-code-by-agents](https://osrepos.com/repo/baryhuang-agentrooms): AgentRooms coordinates coding agents through a macOS app and threaded rooms, while Omnigent centers on shared governance, sandboxing, and cross-device sessions. - [cli-agent-orchestrator](https://osrepos.com/repo/awslabs-cli-agent-orchestrator): CLI Agent Orchestrator delegates work among isolated coding CLI sessions, while Omnigent emphasizes shared policies, sandboxing, and team access across devices. - [oh-my-claudecode](https://osrepos.com/repo/yeachan-heo-oh-my-claudecode): oh-my-claudecode adds in-session orchestration for Claude Code, while Omnigent aims to work across agent runtimes with shared governance and collaboration. - [ruflo](https://osrepos.com/repo/ruvnet-ruflo): Ruflo provides a TypeScript harness for Claude Code and Codex with memory and workflows, while Omnigent focuses on cross-harness governance and shared sessions. ## Considerations - The README labels the project as alpha, so users should account for its stated maturity when adopting it for critical workflows. - Manual installation requires Python 3.12 or newer. Some harnesses and integrations also require their own command-line tools or optional extras. - Sandbox and terminal capabilities vary by platform. The README notes that native Windows support is degraded and does not provide the same filesystem and network isolation as macOS or Linux. - The framework offers many integration and deployment options, which may add setup and maintenance overhead compared with using a single agent directly.