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Agent Memory
Tier 3

Agent Memory Systems Survey

View on GitHub Fetched 2026-07-02 2 related flows

Summary

A panoramic survey (2026.03) of 30+ agent memory projects across 15 dimensions - standalone memory frameworks plus agents' built-in memory - including LongMemEval scores. Notably documents the trend of agentic/observational memory overtaking pure vector memory.

Key Takeaways

  • 30+ projects compared across 15 dimensions - ideal checklist fodder
  • Documents the field's shift away from vector-only memory
  • Benchmark scores (LongMemEval) ground the comparisons

Reliability Note

Survey-style catalog (original text in Chinese); rankings reflect the authors' methodology.

Flows informed by this source

2
Flows category icon
Memory & Context

Episodic, Semantic, and Procedural Stores

Organize agent memory by kind - what happened, what is true, and how to do things - instead of one undifferentiated pile.

01Define the three schemas
02Build classification and routing
03Implement type-appropriate recall

+1 more steps to Done

Best forbuilders who have shipped a basic app before

4 steps60-90 minutesIntermediate
Flows category icon
Memory & Context

Vector vs Markdown Memory: Make the Decision

Choose your memory backend on evidence: when plain files win, when vectors earn their complexity, and how to test it on your own data.

01Profile the workload honestly
02Benchmark both on your data
03Decide and set the tripwires

Best foryour first pass at this - no prior setup assumed

3 steps45-60 minutesBeginner

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