
ScreenpipeOpen-source 24/7 local screen and audio recording for building context-aware AI apps
개요
주요 기능
- 24/7 screen and audio capture
- Local storage and on-device processing
- OCR and speech-to-text indexing
- Plugin and pipeline architecture
- APIs for querying captured context
- Cross-platform desktop support
가격
- 모델
- Free
- 카테고리
- MCP Servers
- 평점
- 4.8 / 5 (4)
사용 사례
Build a personal memory assistant
Use continuous screen and audio capture to create an AI assistant that can recall anything you've seen, read, or discussed on your device.
Automated meeting summarization
Leverage local speech-to-text indexing to transcribe and summarize meetings without sending sensitive audio to cloud services.
Context-aware AI agent development
Developers can query captured screen and audio context via APIs to ground LLM workflows in real user activity and build personalized agents.
Custom productivity pipelines
Use the plugin architecture to transform raw recordings into searchable text and structured events that power custom productivity or analytics tools.
장단점
장점
- Fully local processing keeps data private
- Open-source and extensible via plugins
- Continuous capture of both screen and audio
- Developer-friendly APIs for AI workflows
단점
- Requires technical setup and configuration
- Continuous recording can use significant disk space
- Performance depends on local hardware
- Smaller ecosystem than hosted alternatives
리뷰
4개 평가의 평균.
리뷰를 작성하려면 로그인하세요.
Compared a few options
Evaluated this against two competitors. Where it wins: cross-platform desktop support and fully local processing keeps data private. Where it lags: performance depends on local hardware. On balance the feature set — especially cross-platform desktop support — justifies the 4 stars for our use case.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on oCR and speech-to-text indexing, and developer-friendly APIs for AI workflows caught me off guard. still, I'd recommend giving it a real trial.
Does the job
Pretty happy overall. APIs for querying captured context just works and developer-friendly APIs for AI workflows. but no dealbreakers — I'd recommend it to a friend without hesitating.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on aPIs for querying captured context, and developer-friendly APIs for AI workflows caught me off guard. still, I'd recommend giving it a real trial.
Q&A
아직 질문이 없습니다 — 첫 번째 질문을 해보세요.
질문하기
MCP Servers 대안
Playwright MCP
MCP Servers
Open-source MCP server that lets LLMs drive real browsers via Playwright and accessibility snapshots.
Pydantic AI
MCP Servers
Python agent framework from the Pydantic team for building type-safe GenAI apps.
Cognee
MCP Servers
Adaptive memory layer that helps AI agents learn from context over time.
Inbox Zero
MCP Servers
AI email assistant that organizes, drafts replies, and helps you reach inbox zero faster.
AgentKit
MCP Servers
TypeScript , AI , , ,
onchain-mcp
MCP Servers
Bringing the bankless onchain API to MCP
markitdown
MCP Servers
Python tool for converting files and office documents to Markdown.
mcp-clickhouse
MCP Servers
mcp-clickhouse MCP server
Trending now
Claude
AI Agents & Chatbots
Conversational AI assistant from Anthropic for writing, analysis, coding, and document tasks
Doozer Ai
Sales Agent
Digital co-workers that automate operational workflows to boost team efficiency.
Consistent Character AI
Images
Generate consistent AI characters across scenes from a single reference photo.
Reducto AI
AI Agent Development Platforms
Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.








