screenpipe
Official@screenpipe
Offers local indexing and retrieval capabilities for OCR, audio, and UI event data streams within a unified monorepo environment.
Agent Skills by screenpipe
Showing 11 vetted skills indexed across 1 GitHub repositories.
screenpipescreenpipe-chats
Search and send messages to existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats.
screenpipescreenpipe-cli
Operate screenpipe recording, search, pipes, and connections from the terminal.
screenpiperender-html-report
Generate self-contained HTML reports that render as live pages in the screenpipe viewer.
screenpipescreenpipe-team
Query Enterprise team activity and manage team Pipes via the Screenpipe CLI.
screenpipescreenpipe-api
Query local screen, audio, and memory data through the screenpipe REST API.
screenpipedevelop-screenpipe-windows
Develop and test Screenpipe Windows-native changes on disposable Azure VMs built from a validated dev image.
screenpipescreenpipe-tauri
Add Tauri commands and generate TypeScript bindings for the screenpipe desktop app.
screenpipescreenpipe-logs
Retrieve and analyze Screenpipe CLI and desktop app logs for debugging.
screenpiperelease
Bump versions, generate changelogs, and trigger GitHub Actions for the screenpipe monorepo.
screenpipebrand-style
Enforce Screenpipe brand guidelines for typography, color, and voice.
screenpipescreenpipe-search
Query local Screenpipe OCR, audio, and UI event data with time filters.
Frequently Asked Questions About screenpipe
FAQPage SchemaWhat specific data types can be queried using Screenpipe?▼
Screenpipe enables querying of local OCR text, captured audio streams, and UI event logs. Users can apply time-based filters to retrieve specific historical data points from these indexed sources, facilitating precise information extraction from local machine activity.
Who is the target user for these technical capabilities?▼
The primary users are developers and engineers managing monorepo environments who require local data indexing and standardized release management. It is designed for those building systems that rely on persistent, searchable records of local desktop interactions and multimedia event streams.
What are the core prerequisites for implementing these features?▼
Implementation requires a local environment capable of processing OCR and audio streams. Users must integrate the provided search modules into their existing monorepo structure to enable indexing of UI events and ensure compatibility with the established versioning and brand guideline enforcement protocols.