Pieces for Developers
AI memory layer that auto-captures your work into a searchable timeline and feeds context to MCP-ready AI tools
Pieces has evolved from a simple capture tool into a genuinely useful AI memory layer, especially with audio capture and agentic meeting prep. If you can tolerate background resource use, this is the most developer-focused auto-memory tool we've seen—just be aware there's no free plan anymore; it's a paid subscription with a 7-day trial.
Verified 7d ago · liveness 93/100 · cite: rightaichoice.com/tools/pieces-for-developers
- Developers who switch between code, chat, docs, and meetings and need to recall past context easily
- Teams that want to retain institutional knowledge and reduce onboarding time
- Researchers who need automatic archiving of web research, articles, and code snippets
- Users of AI coding assistants like Claude, Cursor, and Codex who need local, relevant context via MCP
- Users on resource-constrained machines due to background indexing overhead
- People who prefer manual, structured note-taking over automatic capture
- Developers who rarely revisit historical work or work on short-lived projects
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Pieces for Developers if you work on a low-resource machine, prefer manual note-taking, never need to revisit past work, or require transparent per-user pricing without a sales call.
The free tier limits you to basic LLMs; upgrading to Pro at $18.99/mo unlocks premium models like Claude 4 Sonnet and Gemini 2.5.
Pieces is free for individuals, with Pro at $18.99/mo for premium models. Teams pricing is contact-sales, which can be a hurdle compared to tools like Rewind that offer transparent tiers.
In short
Pieces for Developers — AI memory layer that auto-captures your work into a searchable timeline and feeds context to MCP-ready AI tools. Best for Developers who switch between code, chat, docs, and meetings and need to recall past context easily, Teams that want to retain institutional knowledge and reduce onboarding time, Researchers who need automatic archiving of web research, articles, and code snippets. Plans from $18.99/mo.
What's new in Pieces for Developers
Checked 4 days agoAcross the latest 10 updates: 7 feature updates, 2 community discussions and 1 news mention.
Agentic Long-Term Memory and Meeting Prep
Pieces released agentic Long-Term Memory and meeting prep features.
How to Set Up OpenClaw With Your Pieces Long-Term Memory
Guide on integrating OpenClaw with Pieces Long-Term Memory.
Scheduled Summaries and a rebuilt local LLM engine
Introduced scheduled summaries and rebuilt local LLM engine.
Audio capture for Long-Term Memory
Added audio capture functionality for Long-Term Memory.
Time Breakdown for billable hours
Introduced time breakdown feature to track billable hours.
A new Home Base and single-click summaries
Launched new Home Base interface and single-click summaries.
A comprehensive review of the best AI Memory systems
Review comparing AI memory systems including Pieces.
Not a standup tool: the AI memory that makes standups great
Discusses using AI memory to improve standup meetings.
How to use AI Memory in Claude desktop (and why It changes everything)
Guide on using Pieces AI Memory with Claude desktop.
Flat Capital invests in Pieces
Flat Capital made an investment in Pieces.
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.
54 mentions across 3 sources (Product Hunt, Bluesky, Lemmy) · researched Jul 25, 2026.
- +Automatic context capture across IDEs, browsers, and Slack without manual effort.
- +Local-first design ensures privacy; data stays on-device by default.
- +MCP integration enables querying memories from AI coding assistants.
- +Natural language search across 9 months of workflow history.
- +Workstream Activity timeline provides visual overview of deep work sessions.
- −Team pricing is opaque—contact sales only, no published tiers.
- −MCP setup may require learning curve for non-MCP-savvy developers.
- −Some users report confusion about platform integration capabilities.
- −Limited community data outside launch events and Bluesky mentions.
- −Automatic capture may feel invasive to developers privacy-sensitive beyond local.
- • Teams tier requires sales contact; no published price
- • Cloud storage optional but may incur 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: August 2026
How we score →Key Features
- Automatically captures focused app activity every 2 seconds
- Opt-in audio capture for Zoom, Google Meet, and Teams meetings
- Natural language search across captured memories
- Chronological timeline view of workstream activity
- Scheduled daily and weekly summaries
- Single-click summaries for standup updates
- Agentic long-term memory for proactive meeting prep
- Time Breakdown tracks time per app for billable hours
- 1-click save and AI-tagging of code snippets
- Granular privacy controls: pause, disable per app/site, delete by source
- Pieces MCP Server feeds history into Claude, Cursor, Codex, Antigravity
- On-device storage by default; optional cloud for teams
- Local-first processing prioritizes privacy
- Integrates with 25+ apps including Chrome, VS Code, Slack, Gmail
- MCP-ready AI assistant integration
About Pieces for Developers
Pieces for Developers is a desktop app that runs in the background, automatically forming a searchable memory of everything you see, type, copy, and hear across your workday. It captures from 25+ apps—including Chrome, VS Code, Slack, Zoom, Gmail, Figma, Notion—building a chronological timeline you can query in natural language. Instead of manually logging what you did, you can ask Pieces for context, find that article from three days ago, or pull together a week of research into one summary. It's built for developers and knowledge workers who juggle code, chats, docs, and meetings and need a reliable way to recall why past decisions were made. Pieces forms a memory of the currently focused app every 2 seconds, while clipboard and audio capture are strictly opt-in. In early 2026 it added audio capture for Zoom, Google Meet, and Microsoft Teams, transcribing meetings straight into your memory—so call takeaways, action items, and decisions become searchable context. Scheduled Summaries deliver daily or weekly recaps, single-click summaries give you instant standup updates, and Time Breakdown tracks time per app for billable hours. The newest addition, Agentic Long-Term Memory, proactively retrieves relevant context when you're prepping for a meeting, pulling up past decisions, open questions, and threads. Privacy is a core design principle. All memories stay on-device by default—you can pause capture, disable it per app or website, and delete data by time, source, or capture method. For enterprises, that control extends further with org-wide policies, bring-your-own API keys, and compliance enforcement. The Pieces MCP Server carries your full history into MCP-ready AI assistants like Claude, Cursor, Codex, and Antigravity, so your personal context follows you across tools. That makes Pieces more than a log—it's a context provider for your AI workflow. Compared to general-purpose memory tools like Rewind, Pieces goes deeper for developers by integrating with IDEs
Behind the Verdict
We've watched Pieces grow from a niche capture app into a serious AI memory layer. The core pitch is simple: it runs in the background, captures what you see, copy, and hear, and turns that into a searchable timeline. For developers who live in VS Code, Slack, and meeting apps, that's genuinely useful. You can ask 'what was the rationale for that decision last sprint?' and get an answer grounded in your actual history. The new features push it further. Audio capture for meetings is opt-in, so you control what gets transcribed. Agentic Long-Term Memory is the standout—it proactively pulls relevant context when you're prepping for a meeting, which is the kind of feature that saves real time. Time Breakdown is a nice bonus if you bill by the hour. But there are caveats. Background indexing will eat CPU and RAM—on a resource-constrained machine, you'll notice it. And there's no free tier anymore. The pricing page is clear about that: every plan is paid, starting at $18.99 per user per month with a 7-day trial. That's a shift from the earlier freemium model. When should you pick Pieces? If you're a developer who uses MCP-ready AI assistants and want your personal context to follow you across tools. The MCP Server integration is a differentiator—no other memory tool does this as well. If you need org-wide control, the Enterprise tier adds that governance. When should you pass? If you prefer manual note-taking and structured organization, automatic capture can feel noisy. And if you're a casual user who wanted a free tool, Pieces won't fit—you'll need to pay or use the trial. Compared to Rewind, Pieces is more developer-centric. Rewind is broader, but Pieces integrates with IDEs and coding tools more deeply. For teams, Pieces turns individual context into shared
Researching Pieces for Developers? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Pieces for Developers actually fits — and what changes day-one when you adopt it.
Juggles multiple client projects in VS Code and Chrome, needs to recall decisions and code snippets quickly.
Outcome: Captures all activity automatically; asks 'find the auth implementation from last sprint' and gets the exact code snippet, saving hours of searching.
Runs standups, needs to prepare meeting context and summarize team work.
Outcome: Uses scheduled summaries and single-click summary generation to prep for standups in seconds, pulling from captured Slack, GitHub, and meeting context.
Reads many web articles and documents, needs to compile research.
Outcome: Pieces automatically archives research trails; asks 'compile everything I've gathered on topic X' and receives a complete summary with citations.
Use Cases
- Retrieve a code snippet you saw two months ago by asking 'find the auth implementation from last sprint'.
- Give your AI assistant full project context via MCP — e.g., let GitHub 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 and search them later.
- Re-find a research article you read weeks ago with its highlights and related notes.
- Track who discussed what in a project meeting and recall decisions made.
- Share a code snippet with a teammate, complete with AI-generated explanation and tags.
- Automatically compile all gathered information on a topic into one summary.
Models Under the Hood
as of 2026-08-14
Limitations
- Pieces is desktop-only; no mobile app.
- Free tier restricts to basic LLMs; premium models like Claude 4 Sonnet, Claude 4 Opus, and Gemini 2.5 require Pro ($18.99/mo).
- LLM context limits still apply despite LTM-2.
- Heavy reliance on the desktop app means it consumes system resources (CPU/RAM).
- The automatic capture may sometimes grab irrelevant data, requiring occasional cleanup.
- No cloud sync between devices unless using enterprise features.
- Teams pricing requires contacting sales, no published per-user cost.
as of 2026-08-07
Verification history
We have re-verified Pieces for Developers 17 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
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 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/mo per user (billed monthly; yearly discounted)
Enterprise
$22.99/mo per user (billed monthly; also available at
Ideal for
Large organizations with compliance and security requirements.
What this tier adds
Adds advanced compliance and security features, custom deployment options, and dedicated support.
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.
Pieces is free for individuals, with Pro at $18.99/mo for premium models. Teams pricing is contact-sales, which can be a hurdle compared to tools like Rewind that offer transparent tiers.
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.
Most users download Pieces, install, and it starts capturing within 5 minutes. Allowing it to run for a day builds enough memory to be searchable. Audio capture and MCP setup may take an extra 10-15 minutes to configure.
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 Rewind: Export your Rewind memories, then let Pieces capture fresh activity going forward—there's no direct import, but the timeline rebuilds quickly.
- ↗To a manual note-taking app like Notion: Export your Pieces timeline data, then manually curate your most important memories into structured notes.
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
Official links
Tools that pair well with Pieces for Developers
Common stack mates teams adopt alongside Pieces for Developers, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
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.
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.
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.
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.
Pieces For Developers vs Poolside Ai
If you're an enterprise building high-stakes software in finance or defense and need custom AI agents that run inside your security boundary, Poolside is the only choice. For most developers—especially those juggling many tools and wanting to recall past context effortlessly—Pieces offers immediate value with a free tier and no vendor lock-in. Poolside solves governance at scale; Pieces solves daily forgetfulness.
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.
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.
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 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.
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.
Alternatives to Pieces for Developers
View allFrequently Asked Questions
Topics
Used Pieces for Developers? Help shape our editorial sentiment research.