agentscope-ai/ReMe
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
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.
5 releases in the last 90 days, the latest today, with 40 contributors on GitHub.
Gained 22% more stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a memory management framework for AI agents supporting both file-based and vector-based memory systems to persist and recall conversation history.
- Enables agents to overcome limited context windows and stateless sessions by automatically condensing and persisting important information for continuous memory.
- Use for building AI agents that require editable, portable long-term memory stored as markdown files for transparency and manual modification.
- Use for implementing vector-based memory in AI agents to manage personal, task, and tool memories with semantic search and CRUD operations.
- Use for creating conversational AI systems that need hybrid semantic and full-text memory retrieval to maintain context over extended interactions.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
A memory management toolkit for AI agents — Remember Me, Refine Me.
For legacy versions, see 0.2.x Documentation
🧠 ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems.
It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions (new conversations cannot inherit history and always start from scratch).
ReMe gives agents real memory — old conversations are automatically condensed, important information is persisted, and the next conversation can recall it automatically.
Memory as files, files as memory
Treat memory as files — readable, editable, and portable.
ReMe File Based is the core class of the file-based memory system. It acts like an intelligent secretary, managing all memory-related operations:
BaseFileWatcher (file watcher) BaseEmbeddingModel (embedding cache) |
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
331+52
Open issues
60+33
Compared with peers in AI Agents
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 |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| agentscope-ai/ReMe | 3.7K | — | 35 | today |
| Category median | 55.5K | +6.6K | 40 | — |
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