Sumanth (@Sumanth_077) “The meta-harness for all your AI coding agents! Omnigent is an open-source orche” — TopicDigg

The meta-harness for all your AI coding agents! Omnigent is an open-source orchestration layer that sits above your AI coding agents. Orchestrates Claude Code, Codex, Cursor, OpenCode, Hermes, and Pi through a single interface. Swap or combine harnesses without rewriting anything. The problem with using multiple coding agents: each lives in its own terminal, has its own setup, its own commands. When you want to switch or combine them, you start over. Omnigent removes that. One layer above all of them, consistent interface regardless of which agent is running underneath. Sessions follow you across devices. Start in your terminal, continue in the browser, pick it up on your phone. Messages, sub-agents, terminals, and files stay in sync across every surface. Multi-agent orchestration works within a single session. Point one agent at another's work. Delegate tasks in parallel across Claude Code, Codex, and Pi running in separate git worktrees, then route the diffs to a reviewer from a different vendor. All from one session. Policy enforcement runs at three levels: server, agent, and session. Approve before shell commands execute, cap spend, limit tool calls. Stacks consistently across every harness you plug in. Custom agents via YAML. Define your own with tools, MCP servers, and sub-agents. Two ship out of the box: Polly, a multi-agent coding orchestrator, and Debby, a dual-head Claude and GPT brainstorming agent. Key capabilities: • Orchestrates Claude Code, Codex, Cursor, OpenCode, Hermes, Pi, and custom agents • Sessions follow you across terminal, browser, and phone • Multi-agent collaboration within a single session • Policy enforcement at server, agent, and session level • Cloud sandboxes via Modal, Daytona, E2B, and Kubernetes • Custom agents defined in YAML with tools and MCP servers • Real-time team collaboration and session sharing 100% open source. I've shared the link in the replies! Been going deep on what the harness layer actually needs to look like for agents to work independently in production - identity, memory, proactivity, accountability, and the context layer that ties it all together. Wrote a detailed breakdown on this recently. I've quoted the article!