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Screenpipe vs Pieces for Developers — Universal Screen Memory

Universal screen memory vs developer workflow context

The Verdict

Pieces is a well-built tool for developers who want to save and resurface code snippets and workflow context within their IDE. It has excellent editor integrations and supports local LLMs. But it only captures what you explicitly save or what happens in supported tools — it has no screen recording, no OCR, and no audio capture. Screenpipe captures everything automatically and continuously, including meetings, browser tabs, chat messages, and any app on your screen. For developers who want a smart snippet manager with IDE copilot, Pieces is great at that. For developers who want total recall of their entire workday — every conversation, every doc, every terminal output — Screenpipe is the more complete solution. Many developers use both.

Why Screenpipe Wins

IDE-focused snippet manager vs universal screen capture

At a Glance

Feature
Screenpipe
Pieces for Developers
Open Source
Fully open source (MIT) — 16,600+ stars
Partially open source (some SDKs and plugins)
What Gets Captured
Everything on screen (OCR) + all audio automatically
Code snippets + workflow context in supported tools only
Screen Recording & OCR
Audio & Meeting Transcription
Local Whisper transcription + speaker ID
Automatic Capture
Always on — zero manual effort
Manual save or supported tool integration
Data Storage
100% local by default
Local with optional cloud sync
Platform Support
Mac, Windows, Linux
Mac, Windows, Linux
IDE Integration
MCP server (works with any AI tool)
Native plugins (VS Code, JetBrains, Obsidian, Chrome)
Local AI Models
Ollama + Apple Intelligence + any OpenAI-compatible
Built-in on-device LLM support
Visual Timeline
Full visual timeline — scrub through your day
Search Scope
Every app, window, audio — your entire computer
Code and context within integrated tools
Developer API
Full REST API + MCP server + TypeScript SDK
SDK and plugin integrations

Different Kinds of Memory

Pieces and Screenpipe both help you remember things, but in fundamentally different ways. Pieces remembers what you explicitly save — code snippets, links, files from your IDE and browser extension. It's like a smart clipboard with AI context. Screenpipe remembers everything that happened on your screen and in your microphone — automatically, continuously, without any manual action. The Stack Overflow answer you glanced at, the Slack message with deploy instructions, the Figma design review, the terminal output that scrolled by. They solve different problems at different scales.

The 'I Forgot to Save It' Problem

With Pieces, you need to actively save or use an integrated tool for context to be captured. The problem: the things you most need to recall later are often the things you didn't think to save in the moment. That error message that flashed by in the terminal. What your teammate said on the Zoom call about the migration strategy. The API key you saw in a Notion doc. Screenpipe captures all of this passively — you never need to think about saving. When you need it later, it's there.

Beyond Code: Your Whole Workday

Developers don't just write code. You read documentation in browsers, discuss architecture on Slack, review PRs on GitHub, join standups on Zoom, check monitoring dashboards, read emails with requirements. Pieces excels at code context within your IDE. Screenpipe captures everything else too — every app, every window, every spoken word. When you need to recall 'what exactly did the PM say about that feature in yesterday's meeting?', only Screenpipe has that.

Where Pieces Shines

Pieces has genuinely excellent IDE integration. The VS Code and JetBrains plugins are polished and useful. The snippet management — saving, tagging, organizing, and resurfacing code — is well-executed. The on-device AI copilot understands your recent coding context and can help within your editor. If your primary need is a smart, AI-powered snippet manager that lives in your IDE, Pieces does that better than Screenpipe. The free tier is generous enough for individual developers.

Using Both Together

Many developers use both tools. Pieces for its excellent snippet management and IDE copilot — saving and organizing the code patterns you use often. Screenpipe for total recall of everything else — meetings, browser research, chat conversations, screen history. Screenpipe's MCP server means your AI coding assistant (Cursor, Claude Code) can query your entire screen history for context, while Pieces manages your active code snippets. They're complementary, not competing.

Pieces for Developers: pros & cons

Where Pieces for Developers Is Strong

  • Polished IDE integration (VS Code, JetBrains, Obsidian, Chrome)
  • Excellent code snippet management, tagging, and organization
  • On-device LLM support — runs AI locally
  • Cross-platform (Mac, Windows, Linux)
  • Generous free tier with most features included
  • Context-aware AI copilot that understands your recent workflow
  • Good at resurfacing relevant code snippets you saved before
  • Active development and responsive team

Limitations

  • No screen recording or OCR — can't capture what's on your screen
  • No audio capture or meeting transcription
  • Limited to supported tools — doesn't capture Slack, email, browser, or other apps
  • Not fully open source — core engine is proprietary
  • Requires manual saving for most content (not passive/automatic)
  • No visual timeline or screen replay
  • No speaker identification or audio search
  • Pro plan at $34.99/mo for team and cloud features

Is Screenpipe a Good Pieces for Developers Alternative?

Yes. Screenpipe is a strong Pieces for Developers alternative and Pieces for Developers competitor for anyone who values privacy, transparency, and data ownership. Unlike Pieces for Developers, Screenpipe is fully open-source, keeps all data 100% local, and works on macOS, Windows, and Linux.

Screenpipe directly compares itself to Pieces for Developers on this page. The key difference: Screenpipe captures your screen and audio 24/7 while keeping everything stored locally on your device. No cloud uploads, no vendor lock-in, no proprietary black boxes.

Ready for True Data Ownership?

Join thousands who chose open-source, local-first AI memory. Your data stays yours.