AI BriefingICM-Based AI Agent Design Framework Released
Key point
The ICM methodology has been released, managing agent task order and context through folder structures and markdown files.
Details
ICM (Interpretable Context Methodology), a methodology that controls agent task order and context through a Folder Structure instead of orchestration code, has been introduced.
Key Mechanisms:
- Hierarchical Structure: Task order is specified through numbered folders, and folder hierarchy determines the scope of context the agent references.
- State Management: Plain Markdown files are used to record the agent's current task state.
- Autonomy: Agents should be able to determine the next step and perform tasks using only the workspace's file structure, without separate memory.
Provided Features:
- Build Mode: Extracts step-by-step processes, human checkpoints, and stable elements based on a task description to scaffold a minimal-unit workspace.
- Restructure Mode: Analyzes existing folders to classify files by role (Catalog, Contract, Factory, Product, Dead) and generates a migration map.
This technology is provided as a package available for use with Claude Code and Claude Apps, and the related theoretical background can be found in an arXiv paper.
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