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- Add production genesis initialization scripts - Add keystore management for production - Add production node runner - Add setup production automation - Add AI memory system for development tracking - Add translation cache service - Add development heartbeat monitoring - Update blockchain RPC router - Update coordinator API main configuration - Update secure pickle service - Update claim task script - Update blockchain service configuration - Update gitignore for production files
AI Memory — Structured Knowledge for Autonomous Agents
This directory implements a hierarchical memory architecture to improve agent coordination and recall.
Layers
- daily/ – chronological activity logs (append-only)
- architecture/ – system design documents
- decisions/ – recorded decisions (architectural, protocol)
- failures/ – known failure patterns and debugging notes
- knowledge/ – persistent technical knowledge (coding standards, dependencies, environment)
- agents/ – agent-specific behavior and responsibilities
Usage Protocol
Before starting work:
- Read
architecture/system-overview.mdand relevantknowledge/* - Check
failures/for known issues - Read latest
daily/YYYY-MM-DD.md
After completing work:
4. Append a summary to daily/YYYY-MM-DD.md
5. If new failure discovered, add to failures/
6. If architectural decision made, add to decisions/
This structure prevents context loss and repeated mistakes across sessions.