Pieces for Developers
An OS-level AI memory tool for developers that automatically captures and organizes everything you work on — code, docs, chats, and more — so you never lose context.
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Pieces for Developers is a local-first productivity tool that acts as a persistent, AI-powered memory layer across your entire workflow. It automatically saves code snippets, browser tabs, meeting notes, and developer context, linking them together for fast retrieval. Using its proprietary LTM-2 Long-Term Memory Engine, Pieces provides real-time context to your favorite LLMs (like GitHub Copilot, Claude, and Cursor) via MCP integration, while keeping all data on-device by default.
Best for: Software developers and knowledge workers who need persistent, searchable context across tools and AI assistants
Key Features
- OS-level passive memory capture (code, docs, chats, tabs)
- LTM-2 Long-Term Memory Engine for context-aware AI queries
- MCP integration with GitHub Copilot, Claude, Cursor, and Goose
- Browser and IDE plugins (Chrome, VS Code, and more)
- Time-based natural language search over up to 9 months of history
- 1-click save, search, and AI-tagging of code snippets
- Local-first, on-device processing with optional cloud
- AI stand-up feature to summarize recent work
- Cross-platform: Windows, macOS, Linux
Pros
- Truly local-first and private by default — no data leaves your machine unless you opt in
- Deep integrations across the developer toolchain (VS Code, Chrome, Copilot, Cursor, Claude)
- Passive capture requires no manual effort, reducing context-switching friction
- LTM-2 engine provides genuinely useful long-term context to LLMs, not just keyword search
- 150,000+ active developer users indicates real-world traction
Cons
- Pricing for paid tiers is not transparently listed on the homepage, making it hard to evaluate value before sign-up
- Passive OS-level memory capture may feel invasive or raise privacy concerns for some users, despite local-first design
- Heavy resource usage reported by some users — background capture can affect performance on lower-end machines
- 9-month memory limit means older context is lost, which may frustrate long-term users
- Still maturing: some integrations and the MCP feature set are relatively new and may be unstable
Pricing Details
| Pricing type | Freemium |
| Starting at | Free |
| Free plan | ✅ Available |
Plan Breakdown
Free
$0/mo
Pro
$10/mo
Enterprise
Custom
See Current Pricing →
Pricing may change — always verify on the official site.
- Developers wanting to quickly resurface code snippets and context from past sessions
- Engineering teams using AI coding assistants (Copilot, Cursor) who want richer, personalized context
- Researchers and knowledge workers tracking links, highlights, and notes across multiple tools
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Alternatives to Pieces for Developers
See how Pieces for Developers compares side-by-side with similar tools
Pieces for Developers Current |
GitHub Copilot
|
v0
|
Tabnine
| |
|---|---|---|---|---|
| Rating | ★★★★☆ 4.1 | ★★★★½ 4.3 | ★★★★☆ 4.2 | ★★★★☆ 4.1 |
| Trust Score | 74/100 | 88/100 | 83/100 | 78/100 |
| Pricing |
Free
$0/mo
Pro
$10/mo
Enterprise
Custom |
Free
$0/mo
Pro
$10/mo
Pro+
$39/mo
Max
$100/mo |
Free
$0/mo
Premium
$20/mo
Max
$200/mo
Enterprise
Custom |
Free
$0/mo
Pro
$9/mo
Enterprise
Custom |
| Data updated | 2 days ago | 2 days ago | 2 days ago | 2 days ago |
| Try → | Compare → | Compare → | Compare → |
About Trust Score
Trust Score = (Rating / 5 × 60) + (Popularity / 100 × 40). A score of 100 means the tool has a perfect rating and maximum market popularity. Scores are updated automatically by our AI agent.
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