moorcheh-ai/memanto
Memory that AI Agents Love!
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 5 days ago, with 125 contributors on GitHub.
Use Cases & Benefits
- Provides a persistent, active memory agent for AI agents enabling them to remember, recall, and answer with long-term context across sessions.
- Eliminates indexing delays and token waste by offering zero-latency, queryable memory with typed semantic categories and provenance metadata.
- Use for enhancing AI agents like Claude Code or Codex to maintain stateful, context-rich interactions without repeated context injection.
- Use for building multi-agent systems that require conflict detection, versioning, and temporal memory queries for accurate decision-making.
- Use for local or cloud deployment scenarios where data ownership and zero backend maintenance are critical for AI memory management.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Persistent memory for Claude Code, Cursor, Codex, and 14+ other agents, built on the world's first information-theoretic search engine. 100% free, open source, and runs entirely on your machine - no API keys, no vector database, no backend to babysit.
MEMANTO is a memory agent. It remembers, recalls, and answers — so your agents can achieve long-term goals and avoid confusion.
Most memory tools today are passive infrastructure: agents have to query them, parse the results, and figure out what to do next. MEMANTO is built differently. It's an active memory agent designed from the gaps agents themselves named when asked about their memory — three operations (
remember,recall,answer) that give your agents persistent context across sessions, with state-of-the-art retrieval and zero ingestion latency.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
738+141
Open issues
6-125
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 |
| moorcheh-ai/memanto | 2.4K | — | 65 | 5 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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