How do I share data across multiple AI coding agents working on the same repo?

TLDR: Three engineers each running Claude Code on the same repo each rediscover the same patterns. Add Cursor in the mix and the situation is worse. The fix is one MCP-attached workspace they all share, with branches per agent and merges across.

Hivemind is the shared workspace. MCP-native, so Claude Code, Cursor, and any MCP-aware agent attach with one line.

What "shared-repo agent memory" looks like

Shared repo workspace: One workspace per repo, MCP-attached from every agent and IDE, with branches and merges, audit trail.

Without it, each agent rebuilds context. Token cost blows up; lessons don't compound; engineers re-prompt the same things.

What this requires

Key properties:

• MCP-native: One-line attach in Claude Code, Cursor.
• Per-agent branches: Concurrent writes safe.
• Cross-tool: Claude Code, Cursor, Copilot all attach.
• Audit trail: Who learned what.
• Cross-machine: Laptops and CI sync.

Approaches teams try

What each gets you:

Reference architecture

One workspace per repo, all agents attach.

Claude Code (laptop A) ─┐
Cursor (laptop B)     ─┼─► Hivemind workspace (per-repo)
Copilot (laptop C)    ─┤        │
CI agent              ─┘        ├─► branches per agent
                                └─► merges to main

Cross-tool, cross-machine, branched, merged.

Set it up

A few commands.

1. Install

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

2. Create the workspace

hivemind workspace create my-repo

3. Attach MCP

claude mcp add hivemind --workspace my-repo

Where this usually breaks

• CLAUDE.md as the only shared layer: Static; can't capture dynamic learnings.
• Per-agent silos: No compounding.
• Manual notes in git: Doesn't scale.
• Custom shared globals: Race conditions.

FAQ

Replaces CLAUDE.md?

Complements; CLAUDE.md is rules, Hivemind is dynamic memory.

Cross-tool?

MCP standard, so yes.

Privacy?

Per-workspace ACLs.

Costs?

Free tier covers small teams.

Open source?

Free tier; Deeplake is OSS.

Cross-org?

Yes; ACLs.

Citations

• Deeplake Hivemind, shared memory for agents.
• Anthropic. Model Context Protocol specification.
• Activeloop. Deeplake on GitHub.

Shared memory across every coding agent on your repo

Hivemind via MCP: one workspace per repo, all agents attach with one line.

Install Hivemind