
Pieces for Developers
The AI memory layer that knows your work — across every tool you use
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About Pieces for Developers
Pieces is an AI memory layer for modern work, built by Mesh Intelligent Technologies and founded by Tsavo Knott (CEO) in Cincinnati, Ohio. Originally launched as a developer-focused code snippet manager and AI copilot for developers, Pieces has evolved into a horizontal AI memory platform that runs silently in the background on any computer, capturing everything you work on every 2 seconds — research, code, emails, chat threads, meetings, AI conversations, and more — and storing it all locally on-device by default.
The core product is Pieces Desktop, available on macOS, Windows, and Linux. It builds a living, searchable timeline of your work history across 20+ sources including Gmail, Outlook, Slack, Teams, Chrome, VS Code, JetBrains, Cursor, Figma, Notion, Zoom, Claude, ChatGPT, GitHub Copilot, and Codex. You can ask anything about your past work — "what did I decide about the auth flow last Tuesday?", "what articles did I read on Rust last week?" — and get AI-generated answers grounded in your real context rather than generic responses. One-click summaries generate standup updates, morning briefs, and meeting prep from your actual captured history in seconds. The Pieces MCP Server extends this memory into any MCP-ready AI tool, giving Claude, Cursor, Codex, and other agents full awareness of your work context so their responses are grounded in what you actually know and have done.
Pieces is backed by Drive Capital (Columbus), Flat Capital (Stockholm, whose portfolio includes OpenAI, Perplexity, and xAI), Cintrifuse Capital, 1809 Capital, and RedHawk Ventures, having raised approximately $21.6M total. The company explicitly positions privacy as foundational — all captures live on-device, capture can be paused or scoped per app/site, and data can be deleted granularly by time range, source, or modality. Enterprise adds org-wide governance, approved AI provider allowlists, and BYOK controls.
Key Features
- Living timeline — captures everything you work on every 2 seconds across all your apps, building a chronological, searchable memory of your entire work history
- AI-powered recall — ask anything about your past work by time, topic, person, or tool and get context-grounded AI answers from your real history, not generic responses
- One-click summaries — generate standup updates, morning briefs, meeting prep, and day recaps instantly from your real captured context with no manual input
- Pieces MCP Server — carries your full work history into any MCP-ready AI tool including Claude, Cursor, Codex, and Antigravity for grounded, context-aware agent responses
- Multi-model AI — switch between Claude, Gemini, ChatGPT, and local on-device models per question, all under one plan with no extra fees
- On-device storage by default — all memories live locally on your machine; granular controls to pause capture, exclude specific apps/sites, or delete data by time or source
- Broad app coverage — captures from 20+ sources including Gmail, Outlook, Slack, Teams, Chrome, VS Code, JetBrains, Cursor, Figma, Notion, Zoom, and all major AI chat tools
- Meeting audio capture (opt-in) — transcribes and captures meeting context from Google Meet, Zoom, and Teams for inclusion in timeline and AI queries
Pros
- Unique OS-level memory capture — the only tool that builds a searchable memory of your entire work history automatically, every 2 seconds, without any manual filing
- On-device storage by default — all captures live locally with granular per-app, per-site, and per-modality controls for full privacy ownership
- MCP server integration — carries your full personal context into Claude, Cursor, Codex, and any MCP-ready AI so agent responses are grounded in your real work
- Horizontal tool coverage — captures from 20+ apps spanning email, chat, IDEs, browsers, meeting tools, and AI assistants in one unified memory layer
- One-click summaries eliminate manual status updates — standup reports, morning briefs, and meeting prep generated instantly from real captured context
- Backed by Flat Capital (OpenAI/Perplexity/xAI portfolio) and Drive Capital — investor networks at the frontier of AI and developer tools
Cons
- No free plan — Pro requires $18.99/month after a 7-day trial with a card on file; no permanently free tier
- Primarily a context and memory layer, not a code generator or autocomplete tool — best paired with other coding assistants rather than replacing them
- Continuous background capture raises privacy sensitivities for some users, even though all data is stored on-device by default
- Enterprise plan adds only $4/month over Pro but requires organization-level setup, which may slow adoption for small teams
- Windows/macOS/Linux desktop app required — no purely browser-based option; mobile experience is limited
Pricing
Pieces has two paid tiers with no free plan. Pro costs $18.99/user/month billed monthly, or approximately $14.24/user/month billed annually (25% discount). Pro includes the full living timeline, AI recall across all captured sources, one-click summaries, multi-model AI (Claude, Gemini, ChatGPT, and local models), the Pieces MCP Server, and on-device storage with granular privacy controls.
Enterprise costs $22.99/user/month billed monthly, or $69.99/user/quarter. Enterprise adds org-wide capture and feature controls, an approved AI provider allowlist, BYOK (bring your own API keys), and admin-level governance and compliance controls for rollout across an organization.
All new users start with a 7-day free Pro trial (credit card required to start). Every plan comes with a 14-day money-back guarantee. There is no permanently free tier.
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Frequently Asked Questions
Pieces is an AI memory layer that runs in the background on your computer, capturing everything you work on every 2 seconds — research, code, emails, meetings, chat threads, AI conversations, and more. It stores all of this on-device and makes it searchable and queryable with AI, so you can instantly recall any past decision, context, or piece of work. Through its MCP server, Pieces carries your full memory into Claude, Cursor, Codex, and any other MCP-ready AI tool.
Pieces is built by Mesh Intelligent Technologies, Inc., headquartered in Cincinnati, Ohio. The company was founded by Tsavo Knott (CEO) and a small co-founding team. Pieces has raised approximately $21.6M total from Drive Capital (Columbus), Flat Capital (Stockholm, whose portfolio also includes OpenAI, Perplexity, and xAI), Cintrifuse Capital, 1809 Capital, and RedHawk Ventures, plus individual operators and founders.
By default, all Pieces data — your timeline, memories, and captures — is stored entirely on your local machine. Nothing is sent to Pieces servers unless you explicitly use a cloud AI model for a query. You can pause capture at any time, disable it for specific apps or websites, and delete data by time range, source, or modality (vision, clipboard, or audio). Enterprise orgs can set additional governance controls.
Pieces captures from Gmail, Outlook, Chrome, Arc, Safari, Slack, Teams, Google Chat, Discord, Google Meet, Zoom, Google Docs, Notion, Figma, Claude, ChatGPT, GitHub Copilot, Codex, Perplexity, Cursor, VS Code, JetBrains, and Xcode — plus any other focused application. Audio capture from meetings is opt-in only. You control which sources are active.
Pro costs $18.99/month (billed monthly) or approximately $14.24/month (billed yearly, saving 25%). Enterprise costs $22.99/month (billed monthly) or $69.99/quarter. All plans start with a 7-day free trial, and a 14-day money-back guarantee applies after purchase. A credit card is required to start the trial.
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