Constella

Constella provides a collaborative canvas where multiple AI agents and team members can work together on common goals. It brings together various AIs and memories, enabling bi-directional syncing between tools and team agents so decisions and context are preserved in the backend. The product focuses on organizing scattered information and keeping everyone up to date on why decisions were made, across a company’s AIs. It emphasizes shared context and integrated workflows rather than isolated notes. The tool presents a structured space where different teams can pose questions, view blockers, and see progress across implementations.

Constella connects multiple data sources and AI agents to a single canvas, allowing teams to bring their Claude Codes, Codexes, and individual notes into one place. It emphasizes memory across tools and bi-directional syncing so context from Slack, Gmail, Notion, Google Drive, and other apps remains accessible to all agents. The interface is designed to help teams align on current status, risks, and plans by storing context alongside the work itself.

The platform demonstrates how data flows between integrations and AI agents, enabling users to see how issues, PRs, and data events map onto a roadmap. It emphasizes a shared memory system that captures decisions and reasoning, and makes that context available to all AIs within the canvas.

Constella outlines its collaboration model across multiple teams and tools, showing how the memory and context persist through changes and across sessions. It describes the tools and apps it connects to, the type of data captured, and how users can export or manage their information.

Use cases

• Engineering tracks project status and blockers within the canvas
• Sales and product teams surface feedback and roadmaps