Pieces for Developers
Pieces for Developers is an AI-powered memory and context tool that automatically captures your work across apps, browsers, and IDEs to help you recall and reuse anything later.
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✓ Free plan available
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⚡ At a glance
Best for: Developers who frequently context-switch across tools and want persistent, searchable memory of their work without manual bookmarking
✓ Genuinely local-first with strong privacy defaults — no data leaves your device unless you opt in
✗ Pricing tiers and exact feature limits are not clearly published on the main site — transparency is a real issue
An honest editorial snapshot from this tool's profile — not a paid placement.
Pieces acts as an OS-level 'second brain' for developers, passively recording code snippets, tabs, chats, and documents as you work. Its proprietary LTM-2 (Long-Term Memory Engine) feeds context into your preferred LLMs — local or cloud — so you can query your own history naturally. It integrates via plugins (VS Code, Chrome, etc.) and MCP connections to tools like GitHub Copilot, Claude, and Cursor, with a strong emphasis on local, private-by-default storage.
Best for: Developers who frequently context-switch across tools and want persistent, searchable memory of their work without manual bookmarking
Key Features
- OS-level passive memory capture across apps and browsers
- LTM-2 Long-Term Memory Engine for context-aware LLM queries
- 9 months of searchable memory history
- 1-click save, search, and AI-tagging of code snippets
- Plugin integrations (VS Code, Chrome, JetBrains, etc.)
- MCP integration with GitHub Copilot, Claude, Cursor, and Goose
- Local-first, air-gapped operation — cloud is optional
- Natural language time-based queries ('what was I working on Tuesday?')
- Stand-up meeting auto-summary feature
- Cross-platform: Windows, macOS, Linux
How to use Pieces for Developers
▶️ Video review by Pieces (Official)✓ Verified Reviewer
Pros
- Genuinely local-first with strong privacy defaults — no data leaves your device unless you opt in
- LTM-2 context injection into third-party LLMs is a meaningful differentiator vs. basic snippet managers
- Broad plugin and MCP ecosystem covering most major dev tools
- Passive capture requires minimal behavior change from the user
Cons
- Pricing tiers and exact feature limits are not clearly published on the main site — transparency is a real issue
- OS-level background activity can impact performance, especially on lower-spec machines
- Steep learning curve: the product does a lot and it takes time to understand what it captures and why
- Memory capture quality depends heavily on which apps are active — coverage gaps exist for niche or unsupported tools
- Relatively young product with a fast-changing feature set; some advertised integrations have been unstable between releases
- Heavy reliance on testimonials and vague claims ('insane', 'magic') on marketing page raises credibility questions
Pricing Details
| Pricing type | Freemium |
| Starting at | Free |
| Free plan | ✅ Available |
Pieces for Developers Pricing
Pieces for Developers pricing — 2 plans: Free (Individual) ($0 — free desktop app) · Teams (Custom pricing — contact sales). Compare monthly and yearly costs below.
Free (Individual)
$0 — free desktop app
$0 — free desktop app
- ✓ Keep track of your work across browsers, code editors & collaboration tools
- ✓ 9 months of individual context (Long-Term Memory)
- ✓ Basic Copilot assistance
- ✓ Email support
- ✓ Download for Windows, macOS & Linux
Teams
Custom pricing — contact sales
Custom pricing — contact sales
- ✓ Shared memory across teams — share insights, context & knowledge
- ✓ 9 months of team context
- ✓ Bring your own model or choose preferred LLMs (OpenAI, Anthropic, Ollama, etc.)
- ✓ Priority support (phone and email)
See Current Pricing →
Pricing may change — always verify on the official site.
- Developers needing to recall code snippets or decisions made days or weeks ago without manual note-taking
- Writing automated daily stand-up summaries from actual work activity
- Injecting personal work context into LLM chat sessions for more relevant, accurate answers
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|---|---|---|---|---|
| Rating | ★★★½☆ 3.5 | ★★★★☆ 4.1 | ★★★½☆ 3.6 | ★★★½☆ 3.5 |
| Trust Score | 56/100 | 82/100 | 64/100 | 60/100 |
| Pricing |
Free (Individual)
$0 — free desktop a…
Teams
Custom |
Free
$0/mo
Pro
$20/mo
Enterprise
Custom |
Free
$0/mo
Premium
$20/mo
Enterprise
Custom |
Free
$0/mo
Pro
$25/mo
Enterprise
Custom |
| Data updated | 23 days ago | 1 month ago | 11 days ago | 11 days ago |
| Try → | Compare → | Compare → | Compare → |
About Trust Score
Trust Score (0–100) is the average of five quality criteria — Value for money, Free plan, Ease of use, Features, and Transparency — scored on a strict scale. Popularity, brand size, and affiliate commissions never affect it. Tools marked "Editorial estimate" are not yet hands-on tested. How Trust Score works →
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