Hierarchical Memory (Neural Branching)

This skill provides a structured method for managing long-term memory in a multi-layered, branched format to prevent context bloat and ensure high-fidelity recall.

🛡️ Security & Transparency

This skill includes a Python script scripts/add_branch.py. This script is used solely to:

1. Create directories in your memory/ folder.
2. Create boilerplate markdown files for new memory branches.
3. Append links to these new files in your existing memory maps. It does not perform any network activity, access sensitive system files, or execute external code.

Memory Architecture

The memory system is organized into three primary layers:

1. Layer 1: Root Memory (MEMORY.md)

   • The central nervous system.
   • Contains high-level context about the partnership, core missions, and global goals.
   • Acts as a map to all other memory layers.

2. Layer 2: Domain Memories (memory/domains/*.md)

   • Specialized knowledge silos.
   • Examples: coding.md, trading.md, social.md, research.md.
   • Contains domain-specific philosophies, tech stacks, and project indices.

3. Layer 3: Project Memories (memory/projects/*.md)

   • Deep-dive details for specific initiatives.
   • Examples: hesapgaraj.md, clawguard.md, baa.md.
   • Contains project status, to-dos, technical specs, and history.

How to Use This Skill

1. Recalling Information

• Always start by searching MEMORY.md.
• Follow the "Map" links to the relevant Domain or Project file.
• Use read to load only the specific branch needed for the current task.

2. Adding New Information

• New Fact about the Partnership: Update MEMORY.md.
• New Domain: Create a new file in memory/domains/ and link it from MEMORY.md.
• New Project: Create a new file in memory/projects/ and link it from its primary Domain file.

3. Cross-Referencing

• If a project belongs to multiple domains (e.g., a trading bot that requires coding), link the Project file from both Domain files.

Automation Tools

Use the provided scripts to maintain the hierarchy:

• scripts/add_branch.py: Automatically create a new domain or project file with the correct template and linking.

Best Practices

• Atomic Writes: Keep project files focused only on that project.
• Backlinks: Every branch should have a "Back to Root" or "Back to Domain" link.
• Pruning: During heartbeats, review branches and remove obsolete information.
• Why This Matters: Every branch and major entry must include a "Significance" line (Why is this important?) to prevent "Zombie Memory" (useless data accumulation).
• Recent Delta: Maintain a recent_delta.md in each domain/project folder containing changes from the last 3-7 days for rapid context synchronization.