Choose Screenpipe if
- You want to recover processes from ongoing work history.
- Your own agents need searchable context across apps.
- You want to review evidence and decisions before automating.
Screenpipe / Tango
Process capture → AI workflows
A Tango alternative for teams building agents
Screenpipe captures everyday work across apps so your team can recover the steps, explain the decisions, and build reusable instructions for AI agents.
Capture the work
Browser, desktop, and relevant audio
01 / Source historyReview the procedure
Add decisions, exceptions, and checks
02 / Reviewed instructionsBuild with your agents
Connect context. Test a real task.
03 / Validated workflowA human reviews the procedure. Your team controls what the agent can execute.
Tango helps you deliberately capture a process and share a guide. It also offers desktop capture, in-app guidance, and browser automation.
Screenpipe keeps a searchable history while capture is enabled. Return to work that already happened, recover context across apps, and give your own AI tools access to the evidence behind the procedure.
01 / Side by side
Both products can document processes. Capture effort, access to history, and execution scope change which one fits.
| Capability | Screenpipe | Tango |
|---|---|---|
| How capture starts | Ongoing background capture while enabled, with pause and exclusion controls. | Start and finish a capture session to create a guide. |
| Across applications | Native screen capture across browser and desktop apps. | Browser extension plus Mac and Windows desktop capture on paid plans. |
| What you keep | Searchable screen and audio history, with source context for workflow review. | Editable guides with screenshots and step descriptions; link, embed, or export. |
| Explaining decisions | Workflow review and operator feedback. Confirm interview availability for your rollout. | Voice Transcription adds spoken explanations during browser capture. |
| Your AI tools | Local API and MCP access to captured context for your own agents. | HTML and Markdown exports; Enterprise MCP is listed as beta. |
| Executing a workflow | Use reviewed instructions in your agent stack. Scope permissions, testing, and deployment. | AI Agent browser automation on Enterprise Automation; desktop execution is not supported. |
| Data location | Local capture and search. Hosted AI, sync, and team services have separate data paths. | Guides are hosted in Tango's cloud workspace. |
Scroll the table horizontally to compare both products.
02 / The context behind a click
A screenshot can show a changed invoice amount. The procedure also needs the rule: when to change it, who can approve it, and what to do if the numbers disagree.
Use the captured evidence to review those decisions with the person doing the work, then give your agent instructions you can check.
Illustrative review questions
Real-time questioning is experimental. Confirm availability for your pilot. These questions illustrate the review process, not a shipped live-interview promise.
03 / Choose for your next job
Run the same representative process through both products. Measure capture and editing effort, missing decisions, and whether another person or agent can complete it correctly. Include review time and failed attempts.
Agree app coverage, data handling, and execution permissions first. Compare the full rollout cost against the output you need.
View Screenpipe plans04 / Before you decide
Yes, when your goal is to capture ongoing work and use that context to document processes or build AI workflows. Tango is a strong fit for deliberate guide creation and in-app guidance. Test both on the same process to compare the employee effort and output you need.
Yes. Tango documents Mac and Windows desktop capture on Pro and Enterprise. Desktop-captured workflows do not support Guide Me, and its AI Agent automates browser apps rather than desktop software.
Yes. Tango supports HTML and Markdown exports, and lists Enterprise MCP as beta. Screenpipe offers API and MCP access to captured history, which is useful when your own agents need to retrieve additional context beyond a guide.
Real-time contextual questioning is experimental. Confirm availability and timing for your evaluation. Do not make a rollout depend on it without testing the agreed build; review captured work with the operator to fill in missing decisions and exceptions.
No. A useful automation also needs decision rules, exception handling, permissions, and a way to check the result. Review the procedure with its owner, then test the agent on a representative task before production use.
Screenpipe supports local capture and search. Hosted AI, voice services, sync, and Enterprise team features can send data off the device. Agree capture exclusions, processing, retention, and sharing before a team rollout. Local recording alone does not mean an entirely local Enterprise deployment.
Published by Screenpipe. Reviewed October 26, 2026 against first-party documentation. This is a capability comparison, not a hands-on performance benchmark. Plans and availability can change.
Start with the work you want to understand. Review the output before committing to a wider rollout.