Memory
SkillDocs & knowledgeTwo-layer memory system with grep-based recall.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Memory skill
What this skill tells your AI
The instructions your AI receives, as published by gen-verse/past-bench in agents/nanobot/nanobot/skills/memory/SKILL.md and read by ahel’s review.
Structure
memory/MEMORY.md— Long-term facts (preferences, project context, relationships). Always loaded into your context.memory/HISTORY.md— Append-only event log. NOT loaded into context. Search it with grep-style tools or in-memory filters. Each entry starts with [YYYY-MM-DD HH:MM].
Search Past Events
Choose the search method based on file size:
- Small
memory/HISTORY.md: useread_file, then search in-memory - Large or long-lived
memory/HISTORY.md: use theexectool for targeted search
Examples:
- Linux/macOS:
grep -i "keyword" memory/HISTORY.md - Windows:
findstr /i "keyword" memory\HISTORY.md - Cross-platform Python:
python -c "from pathlib import Path; text = Path('memory/HISTORY.md').read_text(encoding='utf-8'); print('\n'.join([l for l in text.splitlines() if 'keyword' in l.lower()][-20:]))"
Prefer targeted command-line search for large history files.
When to Update MEMORY.md
Write important facts immediately using edit_file or write_file:
- User preferences ("I prefer dark mode")
- Project context ("The API uses OAuth2")
- Relationships ("Alice is the project lead")
Auto-consolidation
Old conversations are automatically summarized and appended to HISTORY.md when the session grows large. Long-term facts are extracted to MEMORY.md. You don't need to manage this.
Signals
- GitHub stars
- 26
- Forks
- 4
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
memory-gen-verse- Source
- github.com/gen-verse/past-bench