Multi-Agent Orchestration

Ever built a prototype agent that worked beautifully in a notebook, then hit a wall the moment you tried to turn it into something that runs 24/7 without you watching? Yeah, me too. And for months I’ve been cycling through agent frameworks — LangChain for flexibility, CrewAI for quick multi-agent demos — and each one left me wishing for something that could do both: be structured enough for production, but not so rigid that I’d waste days on boilerplate. ...

Ever noticed how the pace of an open-source project can tell you more about its future than any feature list? Four days ago, Omnigent had 624 stars. Today it’s at 3,842. That’s not normal growth — that’s a signal. I first looked at Omnigent last week when it was fresh out of the gate. The idea was good: one CLI to orchestrate Claude Code, Codex, Pi, and your own agents. But the community has been shipping at a rate that’s hard to ignore — 481 commits in 8 days, 428 forks, a desktop app, Cloudflare Containers support, and a policy engine that actually feels production-grade. ...

Ever found yourself juggling three terminal windows — one running Claude Code, another on Codex, a third Pi session — and wishing there was a single pane of glass for all of them? Yeah, me too. That’s exactly the pain Omnigent sets out to kill. The short version: Omnigent is not another AI coding agent. It’s a meta-harness — a control plane that lets you run, orchestrate, and govern Claude Code, Codex, Pi, and your own custom YAML agents from a single CLI and web UI. 624 GitHub stars, 3 days old, and already shipping features like multi-agent Polly orchestration, cloud sandbox execution, and a policy engine that puts spend caps on your API bills. I spent an afternoon installing it, poking around Polly and Debby, and deploying it to a VPS. Here’s what I found. ...