How do I run Claude Code and Codex through Omnigent?

Summary

• Omnigent is an open-source meta-harness that lets you run Claude Code, Codex, and other AI coding agents through a single orchestration layer with shared policies and live session sharing.
• Teams can mix agents on the same project using the bundled Polly orchestrator, which delegates subtasks to parallel git worktrees and routes diffs to cross-vendor reviewers.
• For production deployment, Databricks Apps and Lakebase provide a governed environment where application state, data, and models coexist, eliminating integration overhead.

How to run claude code and codex through omnigent

If you use more than one AI coding agent, you already know the friction. Claude Code's context model differs from Codex's. Switching models mid-project means rebuilding mental state and re-specifying policies from scratch.
Most teams commit to one harness, not because it's always the best tool, but because the switching cost is too high. According to a 2024 Stack Overflow Developer Survey, 76% of developers are using or planning to use AI tools in their development process (Stack Overflow). This guide walks you through running Claude Code and Codex through Omnigent, an open-source meta-harness that provides a single orchestration layer over both.

What is omnigent?

Omnigent is an open-source meta-harness that places a single orchestration layer over Claude Code, Codex, Cursor, and other agents you define in YAML. It sits above the AI tools and agent frameworks you already use, providing a shared control plane.
Key capabilities include:

• Composable agents: Switch between Claude Code, Codex, and custom agents with one-line changes, no code rewrites needed.
• Stateful policies: Track agent actions and enforce guardrails at the meta-harness layer with contextual execution controls.
• Live session sharing: Share agent sessions by URL across web, mobile, macOS, and APIs.

How to launch claude code and codex

Run Claude Code or Codex through Omnigent with a single command. No YAML configuration is needed.

1. Install Omnigent: Install with one curl-piped script or uv tool install omnigent.
2. Run setup: On first run, Omnigent detects model credentials in your environment (ANTHROPIC_API_KEY / OPENAI_API_KEY, or an authenticated claude / codex CLI) and offers one as the default.
3. Start a coding agent: Either command launches the agent in your terminal and opens a web UI at http://localhost:6767. Both connect to the same session and stream output in real time.

omni claude # launches Claude Code
omni codex  # launches Codex

You get persistent sessions, team collaboration, mobile access, and contextual policies on top of the coding agent you already use.

How to run both agents on the same project

You can mix Claude Code, Codex, Cursor, and custom agents in the same session. Ask one agent to review another's work, or split a task across agents with different strengths.
Omnigent ships with a bundled orchestrator called Polly. Polly breaks tasks into subtasks, assigns each to a coding sub-agent in a parallel git worktree, then routes each diff to a reviewer from a different vendor than the one that wrote it.
You can also fork sessions mid-conversation. Started in Claude Code? Fork the session and continue with Codex. The new agent picks up the full conversation history.

Deploying agent-built applications to production

Local orchestration is one piece of the puzzle. Agents built with tools like Omnigent still need a governed enterprise agent platform where data, models, and application logic coexist.
Databricks Apps provides the execution environment for running application code, agents, and workflows. Lakebase provides the operational database that powers application state and transactional workloads. Claude Code (Anthropic) and OpenAI are listed as codegen partners in the Databricks Apps ecosystem.
This architecture eliminates the need to stitch together separate operational databases, feature stores, model endpoints, and orchestration systems. Application logic runs where the data already lives, reducing integration overhead and simplifying operations.

FAQs

What is omnigent and how does it work as an AI agent orchestration platform?

Omnigent is an orchestration layer above Claude Code and Codex that lets teams manage multiple agents as a unified system. You start a session through Omnigent, and it determines which underlying harness and model runs the work.

How do I set up and configure omnigent to connect with multiple AI coding assistants?

Run omni setup. The system detects ambient credentials (e.g., ANTHROPIC_API_KEY), and secrets are stored in the OS keychain via keyring or a 0600 file fallback.

What are the steps to integrate claude code with omnigent?

No API key is needed if you have a Claude Pro/Max plan. Run claude auth login, then omni setup auto-detects the active CLI login. Launch with omni claude.

How do I connect openai codex to omnigent for automated coding tasks?

If you have the codex CLI installed and authenticated, Omnigent picks it up as a subscription-backed harness. Launch with omni codex.

What API keys and authentication methods does omnigent require?

Omnigent supports subscription-backed logins via the claude and codex CLIs, raw API keys (Anthropic, OpenAI), and gateway keys (OpenRouter, Azure, LiteLLM, vLLM).

Can omnigent run claude code and codex simultaneously on the same project?

Yes. The bundled Polly orchestrator delegates to coding sub-agents in parallel git worktrees, then routes each diff to a cross-vendor reviewer.

What programming languages and development workflows does omnigent support for AI-assisted coding?

Omnigent inherits language support from the underlying agents. Claude Code and Codex each handle Python, JavaScript, TypeScript, Go, Rust, and many other languages. Omnigent adds workflow features like session forking, policy enforcement, and parallel task delegation.

How do I route specific coding tasks to different AI models within omnigent?

Use the policy system to classify tasks by complexity and redirect trivial ones away from expensive models. You can also switch models mid-session with the /model command.

What are common troubleshooting steps when agents fail to execute through omnigent?

Verify CLI authentication (claude auth login or codex login), then re-run omni setup. For Claude Code, point at the Anthropic-compatible endpoint (…/api, not …/api/v1). For Codex, use …/api/v1.

How does omnigent handle token limits and rate limiting?

rate_limit caps total tool calls per session, guarding against runaway loops. Cost budgets track cumulative LLM spend and can warn or block at thresholds you define.

Build AI coding workflows on a unified platform

Omnigent gives you a single orchestration layer over Claude Code and Codex. For production deployment, Databricks Apps paired with Lakebase provides a governed environment where application state, data, and models live together, eliminating the friction of moving data between systems and accelerating how teams build and run intelligent applications. Explore the Databricks Data + AI Platform to see how your agent-built applications can move from prototype to production.