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Agent Memory
Tier 3
KAS Memory
Summary
An agent memory system that auto-extracts insights from coding sessions, recalls relevant memories in future conversations, and builds a growing reusable knowledge base - aimed squarely at not repeating the same mistakes across sessions.
Key Takeaways
- Auto-extract insights at session end, not mid-flow
- Recall is proactive: memories surface when relevant, not on demand
- Coding mistakes are the highest-value memory category
Reliability Note
Community skill/tool (bilingual EN/ZH README).
Flows informed by this source
2Memory & Context
Design a Memory Index Loaded Every Session
Build the pattern behind minimalist memory systems: a compact index file the agent always loads, pointing to detail files it loads on demand.
01Structure the index and details
02Wire loading: index always, details on demand
03Maintain the index as memory evolves
Best forbuilders who have shipped a basic app before
3 steps60-90 minutesIntermediate
Memory & Context
Cross-Session Project State
Keep long-horizon work coherent across many sessions: externalized project state that any session can load, advance, and hand off.
01Design the project-state document
02Implement the session-start protocol
03Implement the session-end advance
+1 more steps to Done
Best forproduction-grade builds with strict verification
4 steps90-120 minutesAdvanced