REWIND ALTERNATIVE
A Rewind alternative for Mac and Windows
Record your work locally and let AI summarize it. Contextberg turns work history into reports you can review, helping you return to a task and bring its context into your next AI conversation.
What Contextberg adds to your Rewind workflow
With Contextberg, you can have AI summarize recorded work into a report, then use that context in your everyday AI tools. Choose the model that processes it and start on Mac or Windows.
| What you gain | How you use it in Contextberg |
|---|---|
| AI summaries of your work | Turn recorded activity into an AI-generated report. Review what you worked on without retracing every screen, then return to the supporting history when needed. |
| Work context inside your usual AI agent | Connect an MCP-compatible agent to activity, reports, and long-term memory. Bring an investigation into the conversation where you will continue working. |
| A choice of local and cloud AI | Configure supported AI steps with LM Studio for on-device inference, or select a supported cloud route. Local history storage and local AI processing are separate choices. |
| A desktop work-memory workflow on Windows as well as Mac | Install the app for the PC where you work. Use a Mac DMG or Microsoft Store installer without building from source. |
Let AI summarize the work you recorded
Instead of reading your activity history one entry at a time, have AI summarize it into a report. After a morning of research, start with an overview of what you worked on, then check the underlying activity for details. The report gives you a starting point for a daily review, a handoff, or returning after an interruption.
You do not need to connect an external agent just to review a summary: AI-generated reports are part of Contextberg. MCP adds another way to use that work context in your next agent conversation.
Continue in your agent, not just in a history viewer
For example, after investigating an error, ask your connected agent to use the recorded session when proposing the next fix. Activity supplies the recent work, reports provide a summary, and long-term memory can supply retained background. You review the evidence and continue in the same agent conversation instead of assembling the background again by hand.
This is specifically about PC work context. The official Limitless developer documentation also describes MCP, but says its developer API supports Pendant data. That is distinct from exposing a Rewind desktop screen archive. Contextberg makes its own recorded PC activity and memory available to compatible agents.
Choose the model, not only where recordings are stored
Saving history locally does not by itself make AI inference local. Contextberg lets you configure supported AI steps to run through LM Studio on your device. For work you want processed locally, use that route; for other tasks, choose a supported cloud model. The practical benefit is control over both the memory and the model that uses it.
From a remembered screen to the next action
A page you read this morning. The error you investigated before a meeting. The conversation where you decided what to try next. With Contextberg, record a session on your Mac or Windows PC and return to that work with context.
Suppose you are investigating a login error across a browser, a terminal, and an AI conversation. After a break, ask about the session you recorded:
Help me continue the login investigation from this morning.
Use my recorded work between 10:30 and 12:00.
What did I last check?
Which approaches did I try?
What should I look at next?
Include supporting times, apps, and URLs.
Separate recorded facts from proposed next steps.Review the supporting activity, choose the next action, and continue. You can also make that work context available to an MCP-compatible agent.
Free to start, ready to install
Download the Mac DMG or install the Windows app from Microsoft Store. No source build or development environment is needed, and the Free plan requires no credit card.
Choose your recording scope and begin a normal work session. Add a local-model setup when you want to use it.
Contextberg's OS-specific desktop apps are designed for everyday background use, with lightweight operation as a design priority. A local model requires separate setup. If you choose cloud AI, the context needed for a request goes to the selected provider; hosted usage depends on the plan and external providers have their own pricing.
Begin a new work history in Contextberg
- Install the app for your OS.
- Review recording permissions and choose the scope.
- Record a task you want to return to.
- Have AI summarize the recorded work and review the report alongside supporting activity.
- Use the context in your next task or MCP-compatible agent session.
This setup begins a new history from the work Contextberg records. Preserve an existing Rewind archive separately; these steps start a new recording workflow rather than importing that archive.
What happened to Rewind?
Limitless says the latest Rewind update disables screen and audio capture from December 19, 2025. See the official Rewind notice for the announcement. This page focuses on starting a new desktop work-memory workflow with Contextberg.