Omnigent: The Meta-Harness for All Your AI Agents

Lets Start Omnigenting 😉

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This post will take you to the video where I have explained Omnigent from the very basics. Haven’t heard of Omnigent yet, no worries, you are covered.

First, let me explain you what Omnigent is in a simple to understand way.

Omnigent is an open-source meta-harness built by Databricks (and Neon) that sits above your existing AI coding agents: Claude Code, Codex, Cursor, Pi, and any custom agents you build yourself. Think of it like a team lead that coordinates multiple AI agents, letting them work together instead of you copy-pasting between them.

The big difference from using agents separately: Omnigent lets you combine, control, and share your agents in one place. You can have Claude Code write the code, Codex review it, and a custom agent handle documentation, all in a single session that stays in sync across your terminal, browser, phone, and desktop app.

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No more text here with same in the video, this is the content I have covered in the video 👇

1. What is Omnigent and why it exists
2. Architecture: Server, Runner (Host), and Agents
3. Local setup and installation
4. Web UI walkthrough
5. Polly: multi-agent coding orchestrator
6. Debby: dual-head brainstorming (Claude + GPT)
7. Creating your own custom agent
8. Policies and guardrails
9. Forking sessions and pair programming
10. Deploying on Railway (remote server)
11. Live collaboration and sharing with teammates
12. Connecting to Databricks workspace

Link to video 👇

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Sources

1. Omnigent Official Website
2. Omnigent GitHub Repository
3. Introducing Omnigent: Databricks Blog
4. Omnigent on Databricks Documentation
5. Omnigent Documentation: Get Started
6. MarkTechPost: Databricks Open-Sources Omnigent
7. Heise: Meta-Harness for AI Agents
8. Omnigent on Azure Databricks

👨🏾‍💻 GitHub ⭐️ | 🐦 Twitter | 📹 YouTube | 👔 LinkedIn | ☕️ Ko-fi

Thank you for your time in reading this post!

Make sure to leave your feedback and comments. See you in the next blog, stay tuned 📢

Link to video 👇 Happy learning 😎