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 4 days ago, with 13 contributors on GitHub.
Peaked at #62 in the weekly ranking the week of Jun 28, its best in the past year.
Use Cases & Benefits
- Enables AI agents to share and reuse learned skills by capturing, codifying, and propagating session traces across a team.
- Reduces redundant reasoning and costs by automatically mining team interactions into reusable skills and injecting relevant prior knowledge in real time.
- Use for enhancing collaboration among AI agents by sharing learned problem-solving patterns across multiple team members and sessions.
- Use for building AI assistants with long-term memory that proactively recall relevant past interactions to improve response accuracy and efficiency.
- Use for managing and enforcing team-wide coding rules, goals, and KPIs centrally across diverse AI agent platforms and workflows.
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
One brain for all your agents
Auto-learning, cloud-backed shared brain for Claude Code • OpenClaw • Codex • Cursor • Hermes • pi agents.
One engineer's agent figures out a tricky migration on Monday.
Tuesday, every agent on the team can execute the pattern.
On LoCoMo, the public long-context memory benchmark, Hivemind is 25% cheaper, 1.7× fewer tokens, and 31% fewer turns than running without shared memory. (See the numbers below.)
Beyond memory. Hivemind doesn't just remember. It mines your team's traces for repeated patterns and codifies them into reusable skills that propagate back into every agent on the team. The agent your junior engineer used this morning is sharper because of what your senior engineer's agent figured out last week.
On the LoCoMo long-context memory benchmark (100 QA pairs, Claude Haiku via
claude -p, hybrid lexical + semantic retrieval), Hivemind cuts cost, tokens, and turns versus a no-memory baseline:The agent reaches the answer in fewer turns with less context, because the prior work is already in scope at recall time, not re-derived per session.
The installer detects every supported assistant on your machine (table below), wires up the hooks, and shows a one-line consent prompt before opening a browser for sign-in. Restart your assistants after install.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
111+15
Open issues
125+85
Compared with peers in AI
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 |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| activeloopai/hivemind | 1.6K | — | 36 | 4 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
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