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Visual, canvas-based automation with powerful branching and the best price-to-power ratio.
Databricks' open-source "meta-harness" that composes, governs and shares AI agents.
Omnigent is an open-source (Apache-2.0) "meta-harness" from Databricks that sits above the coding and agent tools you already use — Claude Code, Codex, Pi, Cursor and custom agents — and makes them interoperable. You can compose multiple agents and switch harnesses with one-line changes, enforce guardrails like cost and permission policies at the meta layer rather than via prompts, sandbox agents at the OS level, and share live agent sessions by URL for real-time collaboration. It launched as an open-source alpha at the 2026 Data + AI Summit.
Omnigent is free and open source under the Apache-2.0 license. You self-host it from GitHub and pay only for whatever underlying agents and model APIs you run through it.
Omnigent is best suited for engineering teams that want to compose, govern and share multiple AI coding agents from one layer. The main trade-off: it is an early alpha aimed at developers.
Comparing options? See our best ai agents & automation tools guide, or browse every ai agents & automation tools tracked on Benchquill.
Key concepts behind ai agents & automation: AI agent · Function / tool calling · MCP (Model Context Protocol).
Yes, Omnigent is free and open source under the Apache-2.0 license; you self-host it and pay only for the agents and model APIs you run through it.
Omnigent is best for engineering teams that want to compose, govern and share multiple AI coding agents from a single meta-harness layer.
The closest alternatives are CrewAI, Relevance AI and Stack AI for building and orchestrating AI agents.
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