What is Screenpipe?

Screenpipe is an AI memory tool designed to help you keep track of everything you see, say, and do on your computer. It works by continuously capturing your screen, audio, and system data. This information is saved locally on your device. The tool then makes this history available to AI agents. This allows AI to understand your past work without needing to start from scratch every time.

Screenpipe runs on macOS, Windows, and Linux. It is backed by Y Combinator, a well-known startup accelerator. The software is source-available, meaning users can inspect the code. It uses a local database to store data and provides an API for other tools to access the information.

Benefits

Screenpipe offers several key advantages for users who want to improve their workflow with AI.

First, it provides interactive AI context. Users can ask an AI what happened during their work week. The tool can provide up to 47 days of memory. This helps AI give accurate answers based on real events.

Second, it offers full visibility and control. Unlike many AI tools that act like a black box, Screenpipe lets you watch what an agent is doing. You can see what triggered the agent, what context it used, and what actions it took. This transparency builds trust.

Third, it supports automated workflows. You can set up agents to run on your own device. For example, an agent can automatically create meeting notes when a call ends. It can summarize the discussion and list action items for everyone involved.

Fourth, it prioritizes privacy. By default, all data stays on your local machine. Cloud uploads are turned off. You can also choose to exclude specific apps or windows from being recorded. Sensitive information like passwords is automatically redacted on your device.

Finally, it integrates easily with tools you already use. Screenpipe connects with Linear, Slack, Notion, GitHub, Obsidian, and HubSpot. You only need to set up these connections once.

Use Cases

Screenpipe is useful for many different tasks in a professional setting.

One common use case is creating meeting summaries. An agent can listen to a meeting, generate a short summary, and save it to a file. It can also identify who needs to do what next.

Another use case is updating project tickets. If you use Linear or a similar tool, Screenpipe can track your work. It can then update your tickets with weekly progress notes based on what you actually did on your screen.

Workflow automation is another major application. You can trigger agents based on specific events. For instance, an agent can start when a new email arrives or when a file is saved. This helps automate repetitive tasks without manual input.

Teams can also use Screenpipe for enterprise management. It allows organizations to manage device deployment and set policies for how AI agents access data. This ensures security while still allowing for automation.

Pricing

The provided article does not contain specific pricing details for Screenpipe. It mentions that the software is source-available, but it does not list subscription costs or free tiers.

Vibes

The article does not include specific user reviews, testimonials, or public reception data. However, it notes that Screenpipe is backed by Y Combinator, which often signals strong potential and quality to the tech community.

Additional Information

Screenpipe is designed to be independent of specific AI models or operating systems. It uses a local database to store captured data in a portable format. The system includes a REST API for external systems to query history. It also features an MCP server to expose context to AI models.

The company focuses on keeping the underlying data accessible. Users can inspect the source code and data structure. This approach ensures that memory is not tied to a single model provider. The tool is built to be secure, flexible, and powerful for both individual users and large teams.