My team is all using Claude Code separately. How can we share what our agents have learned?

TLDR: Out of the box, each developer's Claude Code instance has its own local memory. Lessons one engineer's agent learns about the codebase don't reach anyone else. Multiply across a team and you re-learn the repo every time someone new joins or starts a new task.

Deeplake Hivemind gives the team one shared workspace. Every Claude Code session, across every developer, reads from and writes to the same memory. What one agent learns, every agent on the team recalls instantly.

What "shared learnings" means in practice

Team memory for Claude Code: A workspace-scoped store of decisions, file context, common pitfalls, naming conventions, code patterns, and tool usage that every developer's Claude Code session can read and write to.

Every codebase has a thousand small lessons ("don't touch this file without running migrations first", "the auth module uses a custom pattern, don't refactor", "this helper was tried before and rejected because of X"). When each agent starts fresh, the team's collective knowledge stays trapped in individual sessions.

What team sharing requires

Four properties:

• One workspace per repo or team: All agents on the same project read and write the same memory.
• Auto-capture by default: Engineers shouldn't need to remember to save notes. Tool calls, decisions, and outputs persist automatically.
• Hybrid recall: Vector + keyword search so agents find both "the auth refactor we did last sprint" and "the file path src/auth/middleware.ts".
• Org / workspace scoping: Different teams or projects stay isolated. Agents in repo A can't surface memories from repo B.

Sharing approaches

What teams actually try:

Reference: a team on one shared brain

Each developer's Claude Code talks to the same workspace. Memory compounds across the team.

Dev 1 ─► Claude Code ─┐
Dev 2 ─► Claude Code ─┼─► Hivemind workspace (per repo)
Dev 3 ─► Claude Code ─┤      • plan + decisions
Dev 4 ─► Claude Code ─┘      • tool call history
                              • naming + patterns
                              • lessons learned

Engineers work the way they always do. Their agents quietly read and write to a shared store. Onboarding goes from days to hours.

Set up the team workspace

One workspace, one connect command per developer.

1. Install (each developer)

curl -fsSL https://deeplake.ai/install.sh | sh

2. Create the team workspace (once)

hivemind workspace create my-team-repo --org my-team

3. Each developer connects Claude Code

hivemind connect claude-code --workspace my-team-repo

Why "share a CLAUDE.md" is not enough

• Context window cost: A growing CLAUDE.md eats tokens on every call. Hivemind queries memory at need; tokens stay free.
• Manual editing: Engineers won't update a doc after every PR. Auto-capture is the only thing that scales.
• No tool call history: A doc tells you what to do; memory tells you what was tried, what worked, and what didn't.
• No semantic recall: Reading a 40-page doc on every prompt is wasteful. Hybrid search returns just the relevant 3 snippets.

FAQ

Does Hivemind replace CLAUDE.md?

Not entirely. Keep CLAUDE.md for high-signal team conventions. Use Hivemind for the long tail, tool call history, decisions, file-level context, that doesn't fit in a doc.

How is privacy handled?

Workspaces are isolated. An agent connected to repo A's workspace never surfaces memories from repo B. Org-level scopes prevent cross-team leakage.

Does it work with Codex and Cursor too?

Yes. Any MCP-speaking client connects to the same workspace, so Claude Code, Codex, and Cursor users on the same team share the same memory.

What about new hires?

They install Hivemind, connect Claude Code, and on day one their agent reads everything the team's agents have learned.

Is there a free tier?

Yes. Free for individual developers; team plans add SSO, audit logs, and org scoping.

Can I export the memory if I want to leave?

Yes. Memory lives on Deeplake, which is open source. You can export the dataset at any time.

Citations

• Deeplake Hivemind, shared memory for agents.
• Anthropic. Claude Code documentation.
• Anthropic. Model Context Protocol specification.

One brain for every Claude Code on the team

Hivemind makes Claude Code a team tool, not a single-player one.

Install Hivemind