Pieces for Developers
A desktop memory layer that captures your focused app every 2 seconds and pipes that history into MCP-ready AI assistants.
If your problem is context rather than note-taking, Pieces earns its keep: automatic 2-second capture plus an MCP server that carries your history into Claude, Cursor, Codex, and Antigravity is a combination few rivals match. The May 2026 Agentic Long-Term Memory and Meeting Prep release makes it more than a searchable archive. It is not free — Pro runs $18.99/user/month after a 7-day card-required trial, and Enterprise $22.99/user/month. Pick it if you're deeply embedded in MCP-ready assistants; skip it if you're on a tight machine or prefer deliberate manual notes.
Verified 17d ago · liveness 94/100 · cite: rightaichoice.com/tools/pieces-for-developers
- Developers moving between an IDE, Slack, docs, and calls who need to recall why past decisions were made
- Users of MCP-ready assistants like Claude, Cursor, and Codex who want local context piped in
- Teams that want individual memory turned into shared institutional knowledge
- Researchers who want web research, articles, and code snippets archived automatically
- Users on resource-constrained machines where continuous background capture is a problem
- People who prefer deliberate, structured note-taking over automatic capture
- Developers who rarely revisit past work or run mostly short-lived projects
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Skip Pieces if you work on a memory-constrained machine where continuous background capture is a burden, or if you want a mobile companion app rather than macOS/Windows desktop software.
Starting the 7-day Pro trial requires a card on file, so cancel before the trial ends or you'll be charged automatically
Pro at $18.99/user/month fits an individual developer or researcher who already pays for an AI coding assistant. Enterprise at $22.99/user/month — also sold at $69.99 per user per quarter — fits organizations that need admin-approved providers, org-wide capture policy, and bring-your-own API keys. Against free general-purpose recall tools, Pieces is a paid upgrade you justify through IDE coverage and MCP plumbing rather than breadth of capture.
In short
Pieces for Developers — A desktop memory layer that captures your focused app every 2 seconds and pipes that history into MCP-ready AI assistants. Best for Developers moving between an IDE, Slack, docs, and calls who need to recall why past decisions were made, Users of MCP-ready assistants like Claude, Cursor, and Codex who want local context piped in, Teams that want individual memory turned into shared institutional knowledge. Plans from $18.99/user/mo.
What's new in Pieces for Developers
Checked 9 days agoAcross the latest 4 updates: 3 feature updates and 1 community discussion.
Pieces ships agentic Long-Term Memory and meeting prep
May 2026 release adds agentic Long-Term Memory plus meeting prep capabilities to Pieces.
How to set up OpenClaw with your Pieces Long-Term Memory
Pieces blog guide covers connecting OpenClaw to Pieces Long-Term Memory.
Scheduled Summaries and rebuilt local LLM engine
Pieces adds Scheduled Summaries and a rebuilt local LLM engine.
Audio capture for Long-Term Memory
Pieces Long-Term Memory now supports audio capture.
What people actually say about Pieces for Developers — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
59 mentions across 3 sources (YouTube, Product Hunt, Lemmy) · researched Aug 24, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Automatic capture creates a searchable memory without manual logging.
- +MCP server integration feeds context into Claude, Cursor, Codex, and more.
- +Privacy-first design with on-device storage and granular controls.
- +Audio capture for meetings transcribes and stores call decisions.
- +Strong integration with 25+ apps including IDE and communication tools.
- −Constant capture may raise privacy concerns for sensitive work.
- −Performance overhead from capturing every 2 seconds could be an issue.
- −Primarily desktop; mobile capture is missing for on-the-go users.
- −Learning curve to configure privacy controls and integrations.
- −Limited community feedback; reliability not yet battle-tested.
- • Pricing details are not fully disclosed in community data; users may need to contact sales for enterprise.
- • Higher tiers may require storage for cloud sync, adding data costs.
Viability Score
How well maintained and how widely used is Pieces for Developers? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Automatic capture of the focused app every 2 seconds
- Natural-language recall scoped by time, topic, person, or tool
- Chronological timeline of research, chats, emails, notes, and meetings
- Opt-in clipboard capture of what you copy and paste
- Opt-in audio capture from meetings and conversation apps
- Single-click summaries for standups, morning briefs, meeting prep, and day recaps
- Scheduled daily and weekly summaries
- Agentic Long-Term Memory that proactively surfaces context
- Meeting Prep built on Agentic Long-Term Memory (May 2026)
- Time Breakdown tracking hours per app for billable work
- Pieces MCP Server carries full history into MCP-ready assistants
- Switch between Claude, Gemini, ChatGPT, and local models per question
- Rebuilt local LLM engine (March 2026)
- Memories saved on-device by default
- Granular privacy controls: pause, disable per app/site, delete by source or capture method
About Pieces for Developers
Pieces for Developers is a macOS and Windows desktop app that runs in the background and builds a searchable, chronological memory of your working day. It forms a snapshot of the currently focused application every 2 seconds, so research trails, chats, emails, notes, and meetings that would otherwise vanish into closed tabs become a timeline you can query in plain language. Clipboard capture and audio capture are opt-in only, which matters if you don't want everything swept up by default. Natural-language recall lets you scope a question by time, topic, person, or tool instead of hunting through apps one at a time. Single-click summaries generate standup updates, morning briefs, meeting prep, and day recaps from that captured context, and Time Breakdown tallies hours per app when you need to bill them. In May 2026 Pieces added Agentic Long-Term Memory with meeting prep, so relevant past decisions surface proactively rather than only when you search. The feature that ties it together is the Pieces MCP Server, which carries your full history into Claude, Cursor, Codex, Antigravity, and any other MCP-ready assistant. Memories are saved on-device by default, you can pause capture or disable it per app and site, and you can delete data by time, source, or capture method. Pro is $18.99/user/month and Enterprise $22.99/user/month; new users get a 7-day trial on any plan.
Behind the Verdict
Pieces sells memory, not notes, and the distinction shapes everything about it. Once installed, it does not wait for you to decide something is worth saving — it snapshots the focused application every 2 seconds and assembles those snapshots into a chronological timeline. Clipboard and audio capture sit behind opt-in toggles, so the default footprint is vision-only from the active app. That design is the product's whole argument: the material you need next week is usually the material you didn't think to file.Recall is where the value shows up. You ask in plain language and scope by time, topic, person, or tool — "find the auth implementation from last sprint" rather than opening six apps and scrolling. On top of that sit single-click and scheduled summaries: standup updates, morning briefs, meeting prep, and day recaps assembled from what you actually did rather than what you remember doing. Time Breakdown answers a separate question, tallying hours per app when those hours need to be billed.The connective tissue is the Pieces MCP Server, which carries your history into Claude, Cursor, Codex, Antigravity, and other MCP-ready assistants. That is the real differentiator against general-purpose recall tools such as Rewind: Pieces trades breadth for developer depth — IDE coverage across VS Code, JetBrains, and Xcode, MCP plumbing, and admin-governed enterprise controls. You can also switch between Claude, Gemini, ChatGPT, and local models per question under one plan, and a rebuilt local LLM engine arrived in March 2026.Weaknesses are worth stating plainly. This is desktop software: macOS and Windows only, and no mobile app appears in the evidence. Continuous capture has a cost in background overhead, so older or memory-constrained machines will feel it.99/user/month for Pro or $22.99/user/month for Enterprise, with a 14-day money-back guarantee and 25% off yearly Pro. Privacy is handled better than most: memories live on-device by default and you can pause, disable per app or site, or delete by time, source, or capture method. If you are a disciplined note-taker who rarely revisits old work, the automatic-capture premise will not pay for itself.
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Real-world workflow fit
Concrete scenarios for the personas Pieces for Developers actually fits — and what changes day-one when you adopt it.
Install Pieces Desktop, let it capture the focused app every 2 seconds through a sprint, then connect the Pieces MCP Server so Cursor can pull yesterday's file edits and terminal trails into its context.
Outcome: You stop re-explaining your project to the assistant, and a snippet you saw weeks ago is one plain-language question away instead of a tab hunt.
Turn on single-click and scheduled summaries so standup updates and day recaps are generated from real captured activity, then check Time Breakdown at the end of the week.
Outcome: Standups take minutes to prepare instead of memory reconstruction, and billable or project hours are already tallied per app.
Use Meeting Prep, which draws on Agentic Long-Term Memory to surface earlier decisions and follow-ups captured from Gmail, Slack, or Zoom.
Outcome: You walk into the call with the client's history in hand rather than rebuilding it from email search.
Use Cases
- Retrieve a code snippet you saw two months ago by asking 'find the auth implementation from last sprint'
- Give an MCP-ready assistant full project context, e.g. let Copilot know which files you edited yesterday
- Generate a daily standup report from captured activity without manual logging
- Capture meeting notes, links, and decisions automatically, then search them later
- Re-find a research article you read weeks ago along with its highlights and related notes
- Recall who discussed what in a project meeting and what was decided
- Use Meeting Prep to surface relevant past decisions before you walk into a call
- Compile everything gathered on a topic into one summary
Models Under the Hood
as of 2026-10-09
Limitations
- Pieces is desktop software that runs in the background on your computer; no mobile app appears in the evidence.
- It is not free: after a 7-day free trial (card required to start), Pro costs $18.99/user/month and Enterprise $22.99/user/month, with a 14-day money-back guarantee and 25% off yearly Pro.
- Capture is continuous — memories form every 2 seconds from the focused app, with clipboard and audio behind opt-in toggles — which may raise privacy considerations even though memories are stored on-device by default with controls to pause, disable per app or site, or delete by source and capture method.
- Provenance: capture, summaries, MCP, Pro pricing, and Agentic Long-Term Memory are stated in vendor pages.
as of 2026-09-22
Verification history
We have re-verified Pieces for Developers 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Pieces for Developers tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Pro
$18.99 per user / month · billed monthly
Ideal for
Individual developer or researcher who already pays for an AI coding assistant and wants their own history piped into it
What this tier adds
Starting paid tier: on-device Long-Term Memory, cross-app and website capture, single-click summaries, and unlimited Pieces MCP Server
Enterprise
$22.99 per user / month · billed monthly
Ideal for
Engineering or product organizations that need admin control over which providers, sources, and features are approved
What this tier adds
Adds org-wide capture and feature controls, approved AI providers, your own API keys, and cross-organization compliance enforcement
Where the pricing makes sense
The company stage and team size where Pieces for Developers's pricing actually pencils out — and where peers do it cheaper.
Pro at $18.99/user/month fits an individual developer or researcher who already pays for an AI coding assistant. Enterprise at $22.99/user/month — also sold at $69.99 per user per quarter — fits organizations that need admin-approved providers, org-wide capture policy, and bring-your-own API keys. Against free general-purpose recall tools, Pieces is a paid upgrade you justify through IDE coverage and MCP plumbing rather than breadth of capture.
Setup time & first value
How long it actually takes to get something useful out of Pieces for Developers — broken out by persona, not the marketing-page minute.
Individual developer: install Pieces Desktop on macOS or Windows, sign in, and let capture start — searchable memory accumulates within the first hour, and the MCP server is a one-time connection to Claude, Cursor, or Codex. Teams evaluating Enterprise: add time for admin policy decisions on approved providers, sources, and features before rollout, since those controls gate what individual seats
Switching to or from Pieces for Developers
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual note apps: keep your notes where they are and let Pieces capture the work around them — the timeline fills in what you never typed
- →From Rewind or another recall tool: install Pieces Desktop and re-point your MCP-ready assistant at the Pieces MCP Server instead
- ↗To a plain note-taking setup: export what you need from the timeline before cancelling, since memories are stored on-device
- ↗To a general-purpose recall tool: expect to lose the MCP server and IDE-level capture depth if you move away
Integrations
Resources & Guides
- Quickstartpieces.app
Pieces Documentation
Get started on Windows, macOS, Linux. Troubleshoot, configure, and make the most of Pieces–documentation for new users, developers, and admins for all Pieces OS.
- Resourcepieces.app
Features — Pieces
Explore our AI-powered features that enable you to research, collaborate and code like a pro, without the chaos of context switching.
- Resourcepieces.app
Changelog — Pieces
Check out the latest feature releases, improvements and bug fixes for the Pieces for Developers Desktop App and all of our plugins and integrations.
- Resourcepieces.app
Blog — Pieces
Explore the Pieces Blog for insights on AI, Long-Term Memory AI, and context awareness. Discover how these innovations transform workflows, boost productivity, and redefine developer tools.
- Resourcepieces.app
Support — Pieces
Didn’t find what you were looking for? We’ve got you covered!
Tutorials & Learning
AI Coding Buddy: AI Assistance Like a Friend Beside You | Pieces for Developers
CodeWithHarry
Getting Started with the Pieces for Developers VS Code Extension
Pieces
Pieces App: The BEST AI Coding Workflow Copilot! Live Context Windows for LLMs!
WorldofAI
YouTube returned 6 videos for “Pieces for Developers”, and we withheld 1: 1 did not mention Pieces for Developers. Showing the 5 we can prove are about Pieces for Developers.
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Featured Head-to-Head Comparisons
Appgyver vs Pieces For Developers
If you’re a developer overwhelmed by context-switching across chat, code, and meetings, Pieces gives you a searchable memory layer that works offline and respects privacy. If you’re extending SAP with low-code or pro-code, AppGyver (SAP Build) is the only option that keeps you clean-core compliant and integrates natively with S/4HANA. They solve entirely different problems — choose Pieces for personal productivity, AppGyver for enterprise SAP development.
Image To Threejs vs Pieces For Developers
These tools solve entirely different problems. If you need to quickly turn an image into editable Three.js code for prototyping, Image to Threejs is your go-to. If you're a developer drowning in context-switching and need an automatic, searchable memory of your workflow, Pieces for Developers is a game-changer. Buy both if both apply; they don't overlap.
Medo vs Pieces For Developers
Choose Pieces if you're a developer who needs automatic, searchable recall of your workflow across apps. Choose Medo if you want to build apps without coding from natural language or files. They serve opposite needs: one captures existing work, the other generates new work.
Codeai Studio Pro vs Pieces For Developers
If your daily pain is losing context across tabs, chats, and meetings, Pieces for Developers is the pick—its LTM-2.5 engine and recent audio capture / scheduled summaries keep your workflow searchable. If you instead need to ship a web or mobile app from a prompt fast, CodeAI Studio Pro's Agent Mode and multi-model support accelerate prototyping. Choose the one that solves your bottleneck: recall vs. generation.
Kimi Chat vs Pieces For Developers
If you need an AI that actively produces reports, slides, websites, and multi-agent workflows, Kimi Chat is your pick. If your priority is logging every screen, keystroke, and meeting to never lose context, Pieces for Developers is the uniquely valuable tool. They solve different problems—choose based on whether you need generation or memory.
Pieces For Developers vs Testsprite Cli
Choose Pieces for Developers if your pain is losing context across apps, meetings, and code tools—it builds an automatic, searchable memory. Choose TestSprite if your pain is trusting AI-written code—it autonomously tests your app and bundles failures with root-cause hypotheses. They solve different problems: one captures what you've done, the other validates what your AI agent just wrote.
Pieces For Developers vs Rtk
Choose Pieces if you need a searchable timeline of your entire workflow—code, chats, meetings—and value on-device privacy; it’s ideal for context-heavy teams. Pick RTK if your pain point is token costs and context-window bloat from AI assistants; its zero-config CLI proxy delivers immediate savings. They solve different problems, but for pure cost efficiency, RTK wins; for retrospective recall, Pieces is unmatched.
Markdown Studio vs Pieces For Developers
If you spend your days meticulously engineering prompts and comparing outputs across GPT-4o, Claude, and Gemini, Markdown Studio’s free Battle Mode and real-time token counts make it the clear choice. But if you want an invisible memory layer that captures every code snippet, chat, and meeting—then auto-tags and surfaces them later—Pieces for Developers is unmatched, with its latest agentic memory and scheduled summaries turning your work history into a searchable second brain.
Pieces For Developers vs Pincue
If you want to give precise, structured feedback to an AI coding agent without back-and-forth, Pincue is the clear choice: it exports a single markdown file your agent acts on directly. If you need to automatically capture and recall your entire development workflow—code, chats, meetings—for future context, Pieces for Developers is unmatched with its on-device, searchable memory. Choose Pincue for targeted, agent-ready feedback; choose Pieces for continuous, automatic context accumulation.
Pieces For Developers vs Rightnow Ai
If you write CUDA/Triton kernels and need AI-aided profiling, benchmarking, and code generation, RightNow AI is a no-brainer. If your pain is losing context across apps and needing an automatically searchable history of your work, Pieces for Developers is the pick. They solve fundamentally different problems, so choose based on whether you optimize GPU code or your personal workflow.
Bito vs Pieces For Developers
Choose Bito if your team uses AI coding agents (Cursor, Claude Code) across multi-repo projects and needs automated architecture analysis, impact assessment, and task scoping. Choose Pieces if you want a passive, local memory layer that captures everything you do (code, chats, meetings) for personal recall and standup reports. Bito is for engineering teams scaling code generation; Pieces is for individual developers drowning in context switches.
Pieces For Developers vs Terracotta Ai
If you need to remember every piece of context across your dev workflow—code, chats, meetings—Pieces for Developers is the auto-memory you didn't know you needed. If you're responsible for shipping Terraform safely and staying compliant, Terracotta AI's automated PR checks and drift detection are indispensable. They solve entirely different problems; choose based on whether your pain is 'I can't find that snippet' or 'I can't let that misconfig hit production.'
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