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Agent Memory
Tier 3
AI Memory Patterns
Summary
Production patterns for building AI agent memory systems, distilled from operating a real multi-tenant system (154K+ observations, 3-node cluster) that competes with commercial offerings like Mem0 and Zep - architectural patterns and lessons, not a tutorial.
Key Takeaways
- Patterns come from production scale, not toy demos
- Write/read/compress/update form the core memory pipeline
- Multi-tenancy forces clean memory isolation design
Reliability Note
Practitioner-authored pattern guide grounded in a real deployment.
Flows informed by this source
2Memory & Context
Add File-Based Persistent Memory
Give your agent durable memory with plain files - the radical-minimalism approach production practitioners keep converging on.
01Design the memory file structure
02Load memory at session start
03Build the guarded memory_update tool
+1 more steps to Done
Best foryour first pass at this - no prior setup assumed
4 steps45-75 minutesBeginner
Memory & Context
Memory Write Policies
Decide what gets remembered: write gates, provenance, confidence, and validation - because memory quality is set at write time.
01Write the memorability criteria
02Attach provenance and confidence
03Detect and resolve contradictions
+1 more steps to Done
Best forbuilders who have shipped a basic app before
4 steps60-90 minutesIntermediate