VictorTaelin/OptMem
Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 2 contributors on GitHub.
Use Cases & Benefits
- Provides a permanent, efficient memory system for AI agents using a compact prompt and a single Python script.
- Enables fast, append-only memory storage with instant lookup and rebuildable summaries without background processes or dependencies.
- Use for enhancing AI agents with persistent, searchable memory across sessions and model changes.
- Use for managing and compressing large volumes of agent-generated knowledge in a lightweight, file-based structure.
- Use for integrating memory recall and note-taking commands into AI workflows to track decisions and learned facts reliably.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
No license detected
No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.
Community files
- README: present
Watch-outs
- Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
- Owned by an individual account with only 2 contributors on GitHub; plan for bus-factor risk.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
It prints a
## Memoryblock. Paste that at the top of your agent'sAGENTS.md(orCLAUDE.md), and you are done. Run the same line again to update.The tool lands at
~/.optmem/memo; put~/.optmemonPATHto typememo.Merges arrive one at a time, in the output of
note. Nothing ever runs in the background.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+413 stars over 21 days across 3 snapshot days; best day +47 on Oct 6.
Forks
148+28
Open issues
17+5
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| VictorTaelin/OptMem | 2.3K | — | 6 | — |
| Category median | 56.0K | +2.3K | 29 | — |
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