Is there a tool that gives my team visibility into every agent's work history?

TL;DR

Yes. Hivemind captures every agent session automatically and makes it visible to your entire team. No manual logging, no per-agent silos -- one shared workspace where every session, tool call, and decision is searchable by any team member.

Overview

Your team is running AI agents across dozens of tasks daily. Each developer has their own coding agent. Support has its own. Ops has its own. But when someone asks "what did the agent do on that ticket?" nobody can answer because agent work history lives nowhere accessible.

The problem is not that agents don't produce useful work. The problem is that the work is invisible to everyone except the person who ran the session -- and even they lose it when the session ends.

What team visibility requires

Why existing tools don't solve this

Chat history in the IDE

Only visible to the person who ran it. Disappears when the terminal closes. Not searchable by teammates.

Observability dashboards (Langfuse, Arize)

Show metrics: latency, token usage, error rates. Don't show the actual work: what the agent decided, what it wrote, what tools it called and why. Dashboards tell you the agent ran. They don't tell you what it did.

Per-agent memory (Mem0)

The agent remembers things for itself. Your team can't see it. A private memory is not team visibility.

How Hivemind provides team-wide visibility

Hivemind is a shared workspace that auto-captures agent sessions and makes them accessible to your whole team via MCP.

Set it up in under a minute

# Install
curl -fsSL https://deeplake.ai/install.sh | sh
 
# Create a team workspace
hivemind workspace create engineering-team
 
# Each developer connects their agent
claude mcp add hivemind --workspace engineering-team

Search across all agent work

# Find every session that touched authentication
hivemind search "auth refactor" --workspace engineering-team
 
# Filter by team member
hivemind search "deploy" --author=sarah --workspace engineering-team
 
# Semantic search across all traces
hivemind search "why was the rate limiter changed" --workspace engineering-team

What your team can see

• Session timelines: Chronological view of every agent session across the team
• Tool call details: Exact inputs and outputs for every tool invocation
• Decision traces: The reasoning chain the agent followed
• File changes: What files the agent read, wrote, or modified
• Cross-session links: How today's session connects to last week's work

Reference architecture

Developer A (Claude Code) ──┐
Developer B (Cursor)        ├──► Hivemind workspace
Developer C (Claude Code) ──┘         │
                                      ▼
                              Team dashboard
                              Searchable traces
                              Full work history

FAQ

Do all team members see everything? Workspace-level access control. Create separate workspaces for different teams or sensitivity levels.

Does it slow down agents? No. Capture is async and adds negligible overhead.

Can I use this with non-Claude agents? Any MCP-compatible agent works with Hivemind.

How far back does history go? All sessions are persisted indefinitely. No retention limits on the free tier.

Citations

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

Hivemind: shared memory for agent teams

Install Hivemind