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LabFrame gives you persistent AI agents that do real work. Each agent has a dedicated cloud workspace where it can write code, run commands, search the web, generate documents, and build websites — then hand you the finished deliverable. It is not a chatbot. It is an AI teammate with its own computer.

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Who is it for?

LabFrame is built for R&D teams, university labs, and national labs. Researchers, students, and instructors use it to accelerate work that used to take weeks — literature reviews, data analysis, course material, prototypes, and technical writing.

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Core ideas

Persistent agents

Each agent keeps its files, conversation history, and workspace across sessions. Pick up where you left off.

Real workspace

A full Linux cloud environment, not a sandbox toy. Your agent installs packages, writes files, and runs real commands.

Deliverables, not just text

PDFs, spreadsheets, slide decks, datasets, and deployed websites. Things you can actually send to your advisor or your team.

Collaboration

Invite collaborators to a shared conversation. Everyone sees the same agent, workspace, and results in real time.

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How a typical session looks

  1. You create an agent and give it a name.
  2. You send a message: “Build a literature review on battery degradation models.”
  3. The agent searches the web, reads papers, writes a LaTeX document, compiles it to PDF, and presents you with the file.
  4. You click the PDF link in chat to preview it, or open the workspace to download it.
  5. You send a follow-up: “Add a comparison table and regenerate.” The agent iterates on the same files.
Everything the agent produces lives in its workspace. Nothing disappears when the conversation ends.

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Next steps

Quickstart

Create your first agent and get a deliverable in under two minutes.

Agents

Learn how to create and configure agents.

Chat

How to talk to your agent and get the most out of it.

Workspace

Browse, preview, and manage the files your agent creates.