#239239th of 259 in Skills, plugins and prompts

hivemind

Shared team memory and auto-generated skills for coding agents

Stars
1.6k
License
Apache-2.0
Last commit
Oct 2026
Last release
Oct 2026
Language
TypeScript

Missed the latest GitHub check; these facts may be older.

Overview

Hivemind installs hooks or plugins into Claude Code, OpenClaw, Codex, Cursor, Hermes, pi and Claude Cowork (alpha). It captures prompts, tool calls and responses as traces in a Deeplake workspace, and mines them into SKILL.md files shared across the team. Agents recall past work through hybrid lexical and semantic search over those traces.

Who it is for: Teams running several coding agents who want shared memory and reusable skills

Strengths

  • One installer wires hooks for seven agents; `hivemind status` shows what is connected
  • Mines captured traces into SKILL.md files scoped to a workspace
  • Capture can be disabled by env var or a per-directory `.hivemind` file
  • README reports LoCoMo results: 25% lower cost, 31% fewer turns versus no memory

Weaknesses

  • Requires a Deeplake account and cloud API; no fully local mode is described
  • All workspace users can read every captured prompt and tool output
  • Claude Cowork capture is alpha and covers Local Agent Mode sessions only
  • Background summary and skill-mining runs invoke `claude -p`, adding model cost

What it needs

  • no GPU
  • Needs Node.js 22+, Deeplake account (api.deeplake.ai), Claude Code CLI (for summary worker)
  • Models: Claude Code, OpenClaw, Codex, Cursor, Hermes Agent

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