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AllTopicsToday > Blog > AI > Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi
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Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi

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Last updated: June 14, 2026 10:09 am
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Published: June 14, 2026
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Databricks has launched Omnigent, an open supply “metaharness” for AI brokers. This mission is shipped underneath the Apache 2.0 license. Constructed by the Databricks AI group utilizing Neon.

A harness is a wrapper that turns a mannequin into an agent. Claude Code, Codex, Pi is a harness. Omnigent is one degree above them. Deal with every harness as a replaceable half of a bigger system.

Right this moment, many engineers are working with 4 or 5 brokers directly. Copy textual content between coding brokers, search instruments, paperwork, and Slack. Every harness solely understands its personal session. Omnigent provides a shared layer the place composition, management, and collaboration happen.

What’s Omnigent?

Omnigent is a standard interface on command-line brokers and agent SDKs. Wraps terminal coding brokers equivalent to Claude Code, Codex, and Pi. It additionally wraps SDKs equivalent to OpenAI Brokers and Claude Brokers SDK.

The design relies on a single commentary. Nonetheless, though the harness calls that mannequin internally, the user-side interface is similar. Messages and recordsdata are enter, and textual content streams and power calls are output. Omnigent standardizes its interface to permit interchangeable harnesses.

The mannequin and infrastructure are supplied by the client. Omnigent runs brokers on the high degree. You’ll be able to coordinate a number of employees as interchangeable employees underneath one orchestrator.

How Omnigent works

The structure has two elements. The runner wraps the agent in a sandbox session utilizing a unified API. The server gives coverage and sharing. The server exposes all classes by way of units, apps, and internet APIs.

Begin a session in Terminal with one command. It additionally launches the native internet UI at localhost:6767. The identical session will seem in your browser or telephone. Messages, subagents, terminals, and recordsdata keep in sync.

The CLI is put in with two names: omnigent and omni. they’re interchangeable. In the course of the first run, it detects mannequin credentials that exist already within the setting.

https://omnigent.ai/

Configuration, management, collaboration

The Databricks group has constructed Omnigent into three options:

Composition means combining fashions, harnesses, and methods with out rewriting code. Swap between Claude Code, Codex, Pi, and customized brokers with a one-line change. Management means stateful, context-aware insurance policies. These observe agent actions and implement guardrails at a metaharness layer quite than prompts. One instance can be to pause an agent each time they spend $100. The opposite requires human approval to carry out a git push after the agent installs a brand new npm package deal. Collaboration means sharing a dwell agent session by URL. Teammates monitor brokers’ work and chat in real-time. Touch upon recordsdata, co-facilitate classes, and department conversations.

Supporting that is an OS sandbox known as Omnibox. You’ll be able to lock down OS entry and translate community requests. For instance, you’ll be able to conceal GitHub tokens out of your brokers. The token is just inserted into the output proxy for approved requests.

Utilization and examples

Two pattern brokers are included within the repository.

Polly is a multi-agent coding orchestrator. It would not write any code itself. Plan and delegate work to coding subagents in a parallel git worktree. Every diff is routed to a reviewer at a distinct vendor than the creator. Merge the outcomes. Debbie is a brainstorming companion with two heads. One head is Claude and the opposite is GPT. All questions apply to each and the solutions are listed facet by facet. For those who kind /debate, the heads will criticize one another earlier than converging.

Different sensible patterns comply with the identical form. The frontier advisor mannequin can information cheaper open supply employees. A lead agent can coordinate parallel subagents. Numerous LLMs can deal with planning, looking out, and code technology in a single circulation.

Interactive idea demo

The Marktechpost group has created an interactive demo (under) that permits you to expertise Omnigent’s metaharness workflow first-hand. When you choose a Polly Orchestrator process, the Polly Orchestrator plans it and delegates it to a few subagents (Claude Code, Codex, and Pi) that run in parallel and stream the steps dwell. The session value meter will increase in response to exercise, and the toggle between the 2 insurance policies signifies that Omnigent’s management layer is energetic. The price funds pauses execution at $3.00 for person approval, and the context coverage stops the git push following the npm set up till the person authorizes it. When the subagent is completed, every diff is cross-reviewed by a distinct vendor than the one which created it and marked as able to merge.[ターミナル],[Web]and[モバイル]The tabs show the identical classes which are stored in sync throughout interfaces. That is an illustrative simulation and no actual mannequin is known as.

◇

omnigent meta harness

There may be one orchestrator. A number of harnesses. One managed session.

Interactive idea demo

1 · Choose the Orchestrator (Polly) process

Constructing a REST endpoint + testing Refactoring the authentication module Including a cache layer

▶ Run a session ⌘ Terminal ▤ Internet UI ▢ Cellular
Similar session · Syncing

Orchestrator · Polly (plan and delegate with out writing code)

Idol. Choose the duty and press “Run Session”.

✓

Prepared to mix.
The three variations had been cross-reviewed by a vendor completely different from the creator.


mark tech publish
·
AI improvement/analysis media

⏸

Session was suspended by coverage

This is why.

Reject/Cease Approve and proceed

◇

omnigent meta harness

There may be one orchestrator. A number of harnesses. One managed session.

Interactive idea demo

1 · Choose the Orchestrator (Polly) process

Constructing a REST endpoint + testing Refactoring the authentication module Including a cache layer

▶ Run a session ⌘ Terminal ▤ Internet UI ▢ Cellular
Similar session · Syncing

Orchestrator · Polly (plan and delegate with out writing code)

Idol. Choose the duty and press “Run Session”.

✓

Prepared to mix.
The three variations had been cross-reviewed by a vendor completely different from the creator.


mark tech publish
·
AI improvement/analysis media

⏸

Session was suspended by coverage

This is why.

Reject/Cease Approve and proceed

omnigent vs single harness

Practical single harness (equivalent to Claude Code) Omnigent Metaharness agent and mannequin One harness. Change inside fashions for Claude Code, Codex, Pi, SDK, customized – Replaceable switching prices Reintegrate per instrument One-line change interface Terminal or its instruments Personal UI Terminal, Internet, Desktop, Cellular, API – Similar session governance Permit/deny lists, usually prompt-based Stateful context insurance policies on the harness layer Value management Guide monitoring Funds insurance policies paused at set thresholds Copy-and-paste between collaboration instruments Stay sharing Session, co-drive, and fork sandboxing Instrument-dependent OS sandboxing and exit proxies Secret injection Cloud execution Native machine Disposable Modal or Daytona sandbox License kind Apache 2.0, open supply

Begin

Omnigent requires Python 3.12 or later, Node.js 22 LTS, and tmux. One command installs every part.

curl -fsSL https://omnigent.ai/set up.sh |

Subsequent, set the mannequin’s credentials.

Omnigent accepts 4 credential sorts. These are a first-party API key and a Claude or ChatGPT subscription. The others are OpenAI or Anthropic suitable gateways and Databricks workspaces. The /mannequin command switches fashions throughout a session.

Customized brokers are quick YAML recordsdata. Declares prompts, harnesses, instruments, and elective subagents.

Title: my_agent Immediate: You’re a proficient knowledge analyst. executor: harness: claude-sdk # or: codex, codex-native, claude-native, openai-agents, pi instruments: Researcher: kind: agent Immediate: Discover and summarize related info.

Run in a single command.

omnigent execution path /to/my_agent.yaml

Insurance policies use the identical YAML strategy. This built-in restrict initially shows a mushy warning.

Insurance policies use the identical YAML strategy. This built-in spending initially limits spending with a mushy warning. Insurance policies: Funds: Sort: Perform Handler: omnigent.insurance policies.builtins.value.cost_budget Factory_params: max_cost_usd: 5.00 # Onerous Spending Cap ask_thresholds_usd: [3.00] # Comfortable warning in progress

Insurance policies are stacked throughout three ranges. These are server-wide, per-agent, and per-session. Stricter session guidelines are checked first.

strengths and limitations

Strengths

One interface to Claude Code, Codex, Pi, and customized brokers Entry classes from terminal, internet, desktop, and telephone Insurance policies to trace state, not simply enable or deny Stay session sharing as an alternative of copy-pasting between instruments Cloud sandboxing for Modal and Daytona requires no native laptop computer Apache 2.0 license, together with targets equivalent to Fly.io, Railway, Render, and so forth.

Restrictions

The mission is in alpha and early in its lifecycle Requires Python, Node.js, and tmux setup You’ll be able to deliver your personal mannequin, infrastructure, and bills Roadmap gadgets equivalent to Omnigent Server MCP haven’t but shipped An always-on, deployed server is required for off-network teammates to take part

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TAGGED:agentsClaudecodeCodexComposesDatabricksGovernsMetaHarnessOmnigentOpenSourcesshares
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