Your agents learn in silos.
Q* connects them.

Qstar Labs aggregates learnings across your team's projects and auto-promotes patterns that pass a held-out eval gate. Every agent in your workspace gets smarter.

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142 AI systems surveyed
6 scaffold substrates
0 auto-gated Loop 2 systems (before Q*)
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The problem

Your team's AI agents solve the same problems across projects — independently. Project A's hard-won lesson never reaches Project B. Each agent starts from zero.

OpenCore captures learnings per project. But those dreams stay in silos. No system aggregates them across projects, evaluates them, and promotes what actually works.

The solution

Three steps to collective AI intelligence

Step 1

Dream

OpenCore captures dreams and delta-batches per project. Q* watches those outputs and uploads them automatically — zero new workflow.

Step 2

Distill

Cross-project convergence detects shared patterns. A held-out eval gate proves they actually improve workspace-wide performance before promotion.

Step 3

Distribute

Every agent in your workspace gets smarter. Query workspace gradients in real-time via MCP, API, or file export.

For Developers

Your agent improves every session

  • ✓ Works with OpenCore. Your agents already dream — Q* aggregates those dreams across projects.
  • ✓ Your code never leaves your machine. Only PII-stripped patterns and observations flow upstream.
  • ✓ Your agent queries workspace gradients in real-time. Proven knowledge from every project on your team.
For Teams

Shared knowledge compounds across projects

  • ✓ Every team member's agent contributes to and learns from the same knowledge base.
  • ✓ Tuesday's commit doesn't undo Monday's. Consistent conventions, enforced by shared gradients.
  • ✓ Workspace-scoped with RBAC. Federation across workspaces coming in Phase 2.

Start building your workspace's knowledge base

Free to start. Connect your OpenCore projects and let Q* do the rest.

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