Agent Memory System Kit
Your AI agent forgets everything between sessions, then gets overconfident when memory gets stale. This kit gives it a 3-tier persistent memory system with automatic compression, semantic search, skeptical-memory rules, and CLAUDE.md integration.
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Claim your free copy โWhat changed in this update
- โAdded layered-memory-hygiene.md
- โAdded skeptical-memory-rules.md
- โAdded CHANGELOG.md and updated quickstart guardrails
Best for
- +Agents that need project context across sessions without huge prompt files
- +Builders who want memory to stay useful after weeks of work
Not for
- -Teams looking for a hosted memory database or vector platform
What you get
Package includes
- โขsetup.sh โ creates full memory directory structure
- โขrollover.py โ automated compression (3-day, 10-day cutoffs)
- โขmemory-search.py โ semantic search with local or remote embeddings
- โขMemory templates (memory.md, memory-weekly.md, memory-index.md)
- โขlayered-memory-hygiene.md and skeptical-memory-rules.md
- โขCLAUDE.md snippet for memory behavior
- โขLaunchD plist template for macOS scheduling
- โขPopulated examples showing real memory in action
- โขComprehensive guide (9 sections, architecture to production)
- โขCHANGELOG.md
FAQ
Does this require an API key?
Core functionality (templates, rollover) works with no API key. Semantic search works with Ollama (free, local) or OpenRouter (paid, remote).
How is this different from the memory in the Blueprint?
The Blueprint includes memory templates as part of a broader agent setup. This kit goes deep: standalone search, automated compression, indexing, and production patterns from 3+ months of use.
Will this work with agents other than Claude Code?
Yes. The memory files are plain markdown. Any LLM that reads instruction files can use them. The rollover and search scripts are standalone Python.
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