computer use agent context
Give computer-use agents real desktop context.
Computer-use agents can click, type, and navigate. Screenpipe helps them understand the work around those actions: the screen history, audio, app context, SOP, expected outcome, and privacy boundary.
Screen frames
The visual state of the workflow, including pages, forms, documents, dashboards, and app transitions.
Text extraction
OCR and accessibility text that let agents reason about interface content without relying only on pixels.
App and time context
Window titles, app names, timestamps, and surrounding work history tied to the actual human run.
Workflow traces
Sequences of actions, decisions, handoffs, and outcomes that can become SOPs, prompts, and eval cases.
definition
What is a computer use agent?
A computer use agent is an AI system that operates software through the interface a human would use. It may read the screen, reason about a task, click buttons, type text, switch apps, and complete work across websites or desktop applications.
The missing layer is not always the model.
What did the user already try?
Which account, customer, or file is this about?
What does a correct final state look like?
Which data is private, redacted, or local-only?
Where do human workflows fail before automation starts?
Screenpipe is the context layer around computer-use agents.
Agent evals
Turn real workflows into prompts, expected outcomes, and failure cases.
Task mining
Capture how people complete recurring work before automating it.
AI screen recorder
Capture screen and audio as searchable work memory.
Privacy is part of agent context.
Computer-use agents should not receive unlimited desktop history. Screenpipe makes the capture boundary explicit: local-only traces, allowed apps, redacted fields, derived SOPs, eval artifacts, and optional cloud paths can be separated before an agent sees data.