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Hivemind is a TypeScript-based memory and skill-sharing system for AI agents that captures session traces, extracts reusable patterns into markdown skills, and makes them available across your team's agents in real time. It integrates with Claude Code, OpenClaw, Codex, Cursor, Hermes, pi, and Claude Cowork to reduce redundant context and token spend.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | activeloopai/hivemind |
| Owner | activeloopai |
| Primary language | TypeScript |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.5k |
| Forks | 90 |
| Open issues | 39 |
| Latest release | v0.7.118 (2026-07-02) |
| Last updated | 2026-07-08 |
| Source | https://github.com/activeloopai/hivemind |
What hivemind is
Hivemind intercepts agent interactions via hooks or native plugins, stores structured traces in Deeplake (or customer-owned cloud storage), uses hybrid BM25 + semantic search for retrieval, and runs a background worker to synthesize patterns into SKILL.md files. It requires Node ≥22.0.0 and exposes tools via MCP servers or native integrations.
Get the hivemind source
Clone the repository and explore it locally.
git clone https://github.com/activeloopai/hivemind.gitcd hivemind# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Install via npm global package or per-assistant CLI; post-install restart of target assistants required for hooks to take effect.
- BYOC setup requires own GCS, Azure, S3, or on-prem bucket; default is Deeplake-managed storage in cloud (Deeplake.ai account sign-in required).
- Skill synthesis and session summarization happen asynchronously via background worker; depends on Deeplake infrastructure availability.
- Hybrid search uses BM25 lexical retrieval as fallback; embeddings require active integration (embedding model not specified in data; confirm vendor/cost).
- No explicit mention of self-hosted Deeplake option; cloud-first architecture may not suit strict on-prem deployments.
When to avoid it — and what to weigh
- Sensitive or confidential prompts/traces — Hivemind captures full session traces including prompts and tool calls. BYOC (bring your own cloud) mitigates but requires own-bucket management; default path sends data to Deeplake infrastructure.
- Agents not in the supported platform list — Only Claude Code, OpenClaw, Codex, Cursor, Hermes, pi, and Claude Cowork (Alpha) are integrated. Custom agent stacks require custom hook development.
- Organizations with strict data residency requirements — While BYOC exists, the default onboarding flow and skill propagation assume cloud connectivity; on-prem or air-gapped setups require custom architecture review.
- Projects requiring stable, mature integrations — Claude Cowork integration is explicitly Alpha; auto-capture for Local Agent Mode only, desktop-chat sessions are not captured, and reliability is not yet guaranteed.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI license allowing commercial use, modification, and redistribution with proper attribution and liability disclaimer.
Apache 2.0 is permissive and allows commercial use without restriction. However, Hivemind's value depends on Deeplake cloud infrastructure or your own cloud storage account; storage and API costs may apply. Deeplake's SLAs, data retention, and commercial support terms are not stated in this data; confirm with Deeplake.ai before production deployment.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
Captures full session traces (prompts, tool calls, responses) by design. Default path stores data in Deeplake cloud; BYOC mitigates but shifts responsibility to operator. No encryption-at-rest, access-control, or audit-log claims stated. Sign-in via device flow and API tokens. Recommendation: review Deeplake's security posture, data residency policy, and compliance certifications before storing sensitive traces.
Alternatives to consider
LangChain + Pinecone / Weaviate
DIY vector-store + memory pipeline gives full control over storage and retrieval but requires custom agent integration and skill codification logic.
OpenClaw memory-core (built-in)
Native memory system for OpenClaw agents; no external account or cloud dependency, but narrower scope (OpenClaw only, no multi-agent propagation).
Anthropic Prompt Caching + Manual Memory Strategies
Leverage Claude's prompt caching to reduce token spend for repeated contexts without external infrastructure, but no automated skill extraction or team-wide propagation.
Build on hivemind with DEV.co software developers
Install Hivemind in one command and start capturing sessions. Requires Node ≥22, a Deeplake account, and one of the supported agents (Claude Code, OpenClaw, Codex, Cursor, Hermes, pi, Claude Cowork).
Talk to DEV.coRelated open-source tools
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hivemind FAQ
Does Hivemind work offline?
How are skills prioritized during recall?
Can I delete traces or opt out of capture?
What model does Hivemind use for skill synthesis?
Custom software development, end to end
Standing up hivemind properly takes more than a deploy. As a software development agency, DEV.co handles the rag frameworks architecture, the web development on top, and the operational work underneath.
Ready to share agent intelligence across your team?
Install Hivemind in one command and start capturing sessions. Requires Node ≥22, a Deeplake account, and one of the supported agents (Claude Code, OpenClaw, Codex, Cursor, Hermes, pi, Claude Cowork).