Keep work across runs.
Keep inputs, notes, and results available for the next run. A new session starts with the work already there.
Give your agents files and context that last beyond a single run. AgentWS is a persistent filesystem where they can continue tasks and build on each other’s work.
brief.mdThe task at handcontext/What they need to knowworking/Room to make progressresults/Work worth keepingThe run ends. The work carries on.
We believe AI agents are the next workforce. Most workplace software was built for people who find the right files and keep track of what happens next.
We’re building their workspace around files and tools they already use, with the access and change controls that shared work needs.
Keep inputs, notes, and results available for the next run. A new session starts with the work already there.
Give each agent room to make changes. Bring accepted results back to the workspace for others to use.
Set which files each run can read or change. Keep a history of accepted changes and the runs behind them.
Agents use ordinary file commands. Their edits stay private until your workflow accepts them.
Each agent gets its own view of the workspace. Both can read the same files and use their usual tools.
Both agents edit report.md. Their drafts stay private, so neither overwrites the shared file.
Agent A commits its update. Agent B's draft is kept for review because the shared file has changed.
Discarding B leaves A's accepted work intact. The workspace keeps the result and a record of both decisions.
report.mdreport.mdBoth agents start with the same files and use their usual file tools.
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