hivemind

Hivemind

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.

• 📥 Captures every session's prompts, tool calls, and responses as structured traces in Deeplake
• 🧠 Codifies patterns into reusable SKILL.md files, available to every agent on your team
• 🔍 Searches traces and skills with hybrid lexical + semantic retrieval (BM25 fallback when embeddings off)
• 🔗 Propagates capability across sessions, agents, teammates, and machines in real time
• 📁 Intercepts file operations on ~/.deeplake/memory/ through a virtual filesystem backed by SQL
• 📝 Summarizes sessions into AI-generated wiki pages via a background worker at session end
• ☁️ BYOC: keep data in your own GCS, Azure, S3, or on-prem bucket. See Security & storage

Benchmarks

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:

Metric	Baseline	Hivemind	Improvement
Cost / 100 QA	$8.94	$6.65	25% cheaper
Tokens / question	1,700	1,008	1.7× fewer
Turns / question	8.9	6.2	31% fewer

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.

Quick start

One command, all your agents:

npm i -g @deeplake/hivemind && hivemind install

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.

Headless / CI installs: pass an API token instead of using the browser flow:

HIVEMIND_TOKEN=<your-token> hivemind install
# or
hivemind install --token <your-token>

Get a token from your account settings on https://deeplake.ai. With no token in a non-interactive shell, the install completes with hooks but skips sign-in; run hivemind login later to enable shared memory.

Install for a specific assistant only: