Pieces for Developers vs screenpipe (2026)

Pieces for Developers

by Pieces

screenpipe

by Negentropy Labs, Inc.

Pros

• ✓Cross-tool memory architecture with 10 dedicated plugins captures context that IDE-only tools miss: VS Code (95,000+ installs), JetBrains (34,000+), Visual Studio (15,000+), Obsidian (10,000+), JupyterLab, Sublime Text, Neovim, browser extension, CLI, and Raycast cover the full developer surface.
• ✓Local-first processing with explicit no-training commitment and SOC 2 Type II certification: Pieces processes data locally where possible, supports on-device models via Ollama and proprietary nano-models, and commits to never using customer data, addressing privacy blockers at security-conscious organizations.
• ✓MCP support connects Pieces memory to GitHub Copilot, Claude, Cursor, and Goose: the persistent memory layer complements rather than competes with AI coding agents, letting developers use their preferred coding tool with Pieces providing the context those tools lack.

Limitations

• –Memory tool category requires investment before delivering value: developers must accumulate context over time before the LTM advantage materializes, with longer time-to-meaningful-benefit than tools that work immediately on first use.
• –Teams pricing requires contacting sales with no self-serve option: organizations cannot evaluate team features like shared memory and BYOK model selection without a sales conversation, adding friction compared to competitors with self-serve team trials.
• –Not an autonomous coding agent: Pieces is a memory and context layer that complements but does not replace AI coding tools like Cursor or Claude Code; teams expecting autonomous code generation, bug fixing, or PR creation will not find those capabilities here.

Pros

• ✓Local-first by architecture rather than by policy: capture, storage and search all sit on your own machine, cloud model calls send only the query, and Ollama support means the whole loop can run without a single cloud call.
• ✓A first-party MCP server rather than a claim: npx -y screenpipe-mcp exposes search-content and export-video over a local REST API on port 3030. It installs with one click into Claude Desktop from the app's own settings panel, with documented stdio setups for Claude Code, OpenAI Codex, Cursor and Warp.
• ✓A free plan on one device and two published paid rates: Basic at $21 per month billed annually, and Business at $500 per seat per year, with a seven-day onboarding trial that requires a payment method. Getting running is a desktop install on macOS, Windows or Linux against a documented five-minute quickstart.

Limitations

• –The trust portal lists SOC 2 Type 2, ISO 27001, GDPR and HIPAA as compliant. The vendor's security page describes ISO 27001 as in progress and not yet certified, and GDPR, HIPAA and CCPA as internal programs and assessments rather than third-party certifications. Independent review volume is two Product Hunt reviews and one G2 review.
• –Section 4 of the terms has the user consent, by using the service, to the vendor creating Deidentified Data and Analytics Data from usage and using it to improve and train its models. Customer content, output and personal information are excluded without separate written agreement.
• –The public source is under the Screenpipe Commercial License rather than an OSI license: personal, non-commercial and evaluation use can be free, and commercial use requires a paid license. Continuous recording uses roughly 30 GB of local disk per month. Scheduled-task permission presets limit only calls to the screenpipe API: the docs state they do not sandbox shell commands, files or external tools.