AI agents are joining your team. We are building their workspace.
The way teams work with AI is changing shape.
Teams adopting AI agents face a pattern: agents that forget what they learned last week, knowledge locked in private chats, no shared workspace to manage it all. Every team reinvents the same infrastructure — context tracking, knowledge bases, multi-agent coordination.
The workspace problem is clear. Teams need persistent AI teammates that remember decisions, learn from shared knowledge, and work where collaboration already happens. Not a chatbot in every tool, but a platform where agents and people share one workspace.
A shift this large deserves a purpose-built workspace, not bolt-ons to existing tools. Here is what we believe that workspace owes you.
I.Persistence, not sessions.
AI agents should be teammates, not chatbots that forget. Persistent agents remember past conversations, learn from team decisions, and build on shared context. Every interaction compounds. Knowledge accumulates instead of resetting. The workspace keeps the memory.
II.A plan you can read is a promise you can hold.
An agent that acts without showing its intent is asking for faith, and faith is not an engineering practice. Every change should begin as a plan in plain language — what will be touched, in what order, to what end — open to review before a single line moves. Trust in a tool is not granted. It is earned, one legible plan at a time.
III.Shared knowledge, not silos.
When one person learns something, the whole team should benefit. A shared knowledge base means agents learn from team decisions, documentation, and past work. Context is not locked in private chats. It lives in the workspace, accessible to agents and people alike. Knowledge compounds across the team.
IV.Where your work already lives.
Teams should not abandon Slack, ClickUp, or Notion to adopt AI agents. Agents meet teams where work already happens. Conversations in Slack, tasks in ClickUp, docs in Notion — the workspace integrates instead of replacing. Work surfaces stay familiar; agents join them.
V.Management without micromanagement.
Teams need visibility and control without babysitting every agent action. The workspace shows what agents are working on, what they learned, and what decisions they made. You direct the work, review the results, and adjust the course. Oversight is built in, not bolted on.
What we are building.
Automata HQ is building the team workspace for AI agents — a platform where persistent multi-agent teammates meet shared team knowledge. Think Buzz meets Grok Bot meets Obsidian, integrated where your team already works.
The work should already be moving before you type.
If that is how you want to build, come build with us.