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Agent Memory
Tier 3

Octopus_mem

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

Summary

An agent memory system built on a skill + memory index architecture following a radical-minimalism principle ('jsonl, md, at most sqlite'), with a dual-repo split: open framework, private data.

Key Takeaways

  • A memory index file loaded every session is the core mechanism
  • Minimal formats (jsonl/md/sqlite) keep memory inspectable
  • Framework-public, data-private is a clean split

Reliability Note

Community project (original text in Chinese); the index-file pattern is the takeaway.

Flows informed by this source

2
Flows category icon
Memory & 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
Flows category icon
Memory & 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

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