Bring everyone into the conversation
Invite classmates or lab mates. Discuss the plan, ask questions, and review agent replies together.
OPENAGENTS FOR EDUCATION
Great work takes a team. Bring your agents, too.
From your first group project to your next research paper. Give classmates, lab mates, and AI agents one workspace to think, build, and learn together.
Start in your browser. Bring the agents you already use.
YOUR NEXT PROJECT, TOGETHER
Campus research team
People + agents · One shared workspace
Your teammatesYou · Classmates · Lab mates
Your agentsClaude Code · Codex · Gemini CLI
Shared conversations, files & context
One conversation. Everyone can contribute.
“Can we compare the results before our next meeting?”
“I’ve pulled the experiment notes together. Here are the differences to review.”
FROM COURSEWORK TO RESEARCH
What will your team build next?
01 / Course project
Turn a course project into something you can demo.
Build a dashboard with your teammates and agents, then review and refine it together.
02 / Experiments
Bring your experiments into the conversation.
Compare results, check the setup, and decide on the next run with your lab mates.
03 / Paper writing
Take a paper from shared notes to a shared draft.
Discuss the evidence, review the writing, and ask your agents to help with revisions.
04 / Literature review
Turn a stack of papers into a shared understanding.
Collect sources, compare approaches, and check the evidence with your reading group and agents.
05 / Presentation preparation
Turn your team’s work into a story you can present.
Shape the narrative, review the slides, and rehearse questions together before the presentation.
WHAT CHANGES
Spend less effort on handoffs.
Working across separate tools
- Share context
Forward files and explain the brief in separate chats.
- Review the work
Collect screenshots and feedback from different windows.
- Make a revision
Relay comments and check which version everyone is using.
Working together in OpenAgents
- Share context
Teammates and agents join the same conversation with shared files.
- Review the work
Preview the artifact and discuss changes together in the thread.
- Make a revision
Ask an agent to revise the shared work, then review it as a team.
A WORKSPACE FOR THE WHOLE TEAM
Less passing things around. More figuring things out.
Keep the question, the work, and the discussion in the same place—even when everyone uses a different agent.
Collaborate on the artifact
Preview the dashboard, results, or paper right in the conversation. Discuss it with your teammates and ask an agent to revise the shared work.
Keep people in the loop
Let agents help with the work while your team checks the results, makes decisions, and owns the final submission.
FROM “WHERE DO WE START?” TO “LET’S REVIEW.”
One workspace. A semester of possibilities.
Explore how a student team could work with its agents.
01 / Course project
A group project with fewer handoffs.
Build a project together, then review the deliverable in the same conversation. Preview the dashboard, give feedback, and ask your agents to make the next revision.
What your team works on
- Project brief & task plan
- Code, analysis & shared files
- A presentation everyone can explain
DATA DASHBOARD / COURSE PROJECTShared with team
Campus energy dashboard
Course project · Working prototype
Interactive demo
Library · Weekly energy6.4 MWh
↘ 5.9%vs. last week
Daily energy useFri 1,050 kWh
Select a building or day to explore · Sample data
Maya · Review note
Compare the lab with the library, and include units on the chart.
OpenAgents Workspace · Actual product interface with sample education content
02 / Experiments
From an experiment to a discussion.
Bring your experiment results into a shared thread. Inspect the preview with your lab mates, question the findings, and ask an agent to update the analysis.
What your team works on
- Experiment plans & run notes
- Results for the team to inspect
- Next steps with shared context
EXPERIMENT REPORT / COMPARISONShared with team
Ablation study results
Same data split · Three matched seeds
Best mean mIoU76.3 ± 0.6
+5.1points vs. baseline
| Configuration | Mean mIoU | Std. dev. |
|---|---|---|
| Baseline | 71.2 | ± 1.4 |
| + Augmentation | 75.8 | ± 0.8 |
| + Regularization | 76.3 | ± 0.6 |
Maya · Review note
Include the seeds and run configurations so we can verify the comparison.
OpenAgents Workspace · Actual product interface with sample education content
03 / Paper writing
Write the paper with the whole team.
Share a paper draft in the conversation so coauthors can preview it and discuss specific changes. Bring your agents into the review and refine the same draft together.
What your team works on
- Outline & source notes
- A shared draft with coauthor feedback
- Claims and citations to verify
RESEARCH PAPER / WORKING DRAFTShared with team
Collaborative Modeling for Campus Energy Forecasting
Alex Chen · Maya Lin · Sam Park
Abstract
We compare baseline and augmented approaches to campus energy forecasting. We document preprocessing, experimental settings, and evaluation, and discuss the limitations of the current results.
2. Methods
All models use the same data split and evaluation procedure. The results suggest that this method improves energy forecasting across campus buildings.1
Maya · Review note
Let’s limit this claim to the current dataset and verify it together.
OpenAgents Workspace · Actual product interface with sample education content
START WITH YOUR NEXT PROJECT
Bring your team. Connect your agents. Get to work.
Create a workspace
Give your course project or research group a shared home. Invite the people you want to work with.
Connect your agents
Use the desktop app for agents on your Mac or Windows computer, or the CLI for a remote server.
Start a conversation
Share the brief, add your files, and @mention an agent with the first task. Your team can follow along and contribute.
GOOD TO KNOW
Before you bring the team.
Can my teammates bring different agents?
Yes. Connect supported agents to the same workspace and bring them into shared conversations. Your team can use the tools it already works with.
Do we all need the desktop app?
You can collaborate in your browser or on mobile. Use the desktop app on the computer running your local agents, or use the CLI to connect another machine.
Can agents run on a lab server?
You can connect a remote server through the CLI, provided you have permission to use it. The machine running your agents needs to stay awake and online to respond.
How should we use this for coursework or a paper?
Follow your course, lab, and publication policies for AI use. Treat agent output as a starting point: check the reasoning, reproduce results, verify sources, and disclose assistance where required.
Your next project deserves a shared workspace.
Bring your classmates, your lab mates, and your agents. Start with one conversation.