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Hivemind

Community
One brain for all your agents
GitHub source repository ↗
★ 1.6k Stars Category · Dev Tools Very popular Source revision 916eb4110c23
48FMRS · D
Reliability
8/20
Security and permissions
8/20
Maintenance
10/20
Documentation
12/20
Setup experience
10/20

Hivemind provides powerful collaboration for team coding agents through shared memory and skill reuse. However, it depends on cloud storage and exposes the risk of data sharing visibility.

Read the FMRS scoring method →

Hivemind is an auto-learning, cloud-backed shared brain for agents like Claude Code, OpenClaw, Codex, Cursor, Hermes, and pi. It captures every session's prompts, tool calls, and responses as structured traces in Deeplake, mines patterns, and codifies them into reusable skills that propagate across all agents in your team. It supports hybrid lexical + semantic search and provides an SQL-backed virtual filesystem.

Tools

hivemind_search
Search across team traces and skills.
hivemind_read
Read a specific trace or skill from shared memory.
hivemind_index
List what is available for retrieval from shared memory.

Setup

Install with: npm i -g @deeplake/hivemind && hivemind install. The installer detects all supported assistants on your machine and wires up the hooks. For Claude Cowork, run hivemind claude_cowork install.

Fit and risk

Best for

  • Team-based coding agent environments.
  • Scenarios requiring long-term memory and cross-session knowledge sharing.
  • Users who want to automatically extract skills from historical traces.

Not for

  • Single-user scenarios without need for shared memory.
  • Environments requiring complete data isolation without external storage.

Required permissions

  • Captures user prompts, tool calls, tool responses, and assistant responses.
  • Stores data in Deeplake cloud or BYOC storage.

Risks and side effects

  • Data is shared across all users in a workspace, posing potential privacy leaks.
  • Relies on cloud services, so data leaves local machines unless using BYOC.

Troubleshooting

  1. If agents feel sluggish, check the model; Hivemind makes many small tool calls, so a fast model is recommended.
  2. If the integration doesn't take effect after install, restart your assistants.
  3. If no data is captured, verify `HIVEMIND_CAPTURE` env var is not set to false accidentally.

Use cases

Share project knowledge across all agents in a team.
Automatically convert recurring solutions into reusable skills.
Reduce API costs by avoiding re-deriving prior work.

Supported clients

Claude DesktopFull support