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Fable orchestrator

Fable orchestrator is a small, local-first routing skill for Codex that separates planning and adjudication from code implementation. Fable 5.1 plans tasks and makes final decisions without writing code or owning the workspace; Codex validates the bounded graph it returns, runs ready implementation nodes in parallel when useful, collects evidence, verifies the result, and requests further adjudication when needed. Implementation work is delegated through callable OpenCode Go agents, with GPT-5.6 Luna assigned to normal implementation and DeepSeek V4 Flash to loops and repeated high-throughput execution. The repository contains an installable skill, agent configuration, an invocation script, an installer, and shell-based tests. It does not provide a proxy, dashboard, model catalog, credential store, or API-key management. The installer supports dry runs, copying into a Codex skills direct

View repository Mentioned in 11 videos ↓

What Fable orchestrator is used for

8 uses taken from transcripts — each links to the moment in the video.

  • Acts as a higher-level parent agent that coordinates child-agent sessions.

  • Changed application code and an algorithm after being connected to the agent workflow.

  • Visual model used when visual taste was prioritized over speed.

  • Search mathematical problem spaces and generate a counterexample to the Jacobian conjecture.

  • Selected as the model for the Claude Code issue-triage workflow.

  • Used to independently investigate the Muse integration, review Muse's plans, and compare the quality of Muse's repository analysis.

  • Helps with deploying the model-serving setup.

  • A routing layer for coding agents that separates planning, implementation, and repetitive execution among different models. It gives the coding agent a bounded graph to validate and run rather than directly modifying the codebase.

Videos mentioning Fable orchestrator

11 in the library.