This package supports global planning and meta-control for AI agents tackling complex, long-horizon tasks, reducing costly strategic mistakes and blind trial-and-error search.
-
Updated
Apr 23, 2026 - Python
This package supports global planning and meta-control for AI agents tackling complex, long-horizon tasks, reducing costly strategic mistakes and blind trial-and-error search.
Rule lifecycle governance for LLM agents — human adjudication pipeline, mid-execution watchdog, cross-harness portable export.
Get free access to Meta Muse Spark 1.2 on desktop with 1M token context, terminal coding agent, and repo-scale planning for Windows, macOS, and Linux.
Access the Muse Spark 1.1 AI model through this native desktop application for creative writing, reasoning, and multimodal tasks.
Add a description, image, and links to the meta-control topic page so that developers can more easily learn about it.
To associate your repository with the meta-control topic, visit your repo's landing page and select "manage topics."