Pieces
FreemiumAI-powered developer productivity tool. Save, enrich, search, and reuse code snippets with on-device AI that understands your workflow context.
What does this tool do?
Pieces is a developer-focused memory and context management tool that automatically captures code snippets, documentation, chat messages, and workflow artifacts as you work across different applications. It uses on-device AI (LTM-2 engine) to build a searchable repository of your work context, with 9 months of memory retention and time-based query capabilities. The tool emphasizes privacy by running locally by default, with cloud integration optional. It integrates via plugins into VS Code, Chrome, and other developer tools, and can feed context into LLMs like GitHub Copilot and Claude through Model Context Protocol (MCP). Rather than requiring manual bookmarking or snippet management, Pieces passively observes your workflow and organizes memories with automatic contextual linking.
AI analysis from Feb 23, 2026
Key Features
- LTM-2 long-term memory engine with 9-month retention storing code, docs, chats, and workflow artifacts automatically
- OS-level capture across multiple applications with contextual linking to preserve the 'bigger picture' of work sessions
- Time-based search queries enabling temporal navigation through your work history (find what you did on a specific date or timeframe)
- Plugin architecture supporting VS Code, Chrome, and other developer tools, with Model Context Protocol (MCP) integration for LLM providers
- On-device processing with optional cloud synchronization—end-to-end encrypted, air-gapped by default with user control over what leaves the machine
Use Cases
- 1Developers needing to reference past code solutions without manually saving snippets across multiple files or cloud services
- 2Teams collaborating on projects where capturing shared context from meetings, links, and code discussions prevents knowledge loss
- 3Deep work sessions where developers want automatic context preservation without interrupting flow state
- 4Research-heavy development where tracking all links, highlighted text, and keywords matters without explicit bookmarking
- 5Using LLMs effectively by feeding them persistent project context automatically rather than manually copy-pasting information
- 6Onboarding new team members by providing searchable memories of past decisions, code patterns, and discussion context
Pros & Cons
Advantages
- Privacy-first architecture with local-by-default operation means sensitive code and context never touch external servers unless explicitly enabled
- Automatic capture across multiple tools (VS Code, Chrome, Slack, etc.) eliminates friction of manual snippet management and bookmarking
- Time-based search queries (find work from 3 months ago) combined with natural language search provides intuitive memory retrieval compared to traditional keyword-only systems
- Native MCP integration with Claude, GitHub Copilot, and Cursor allows your personal context to enrich LLM responses without manual setup
- Cross-platform availability (Windows, macOS, Linux) with consistent experience across dev environments
Limitations
- Pricing information is completely absent from the website, making it impossible to assess cost-benefit—no indication whether this is freemium, subscription-based, or paid-only
- Marketing copy heavily emphasizes the 'automatic' nature, but actual setup and configuration details are vague; unclear how much manual curation is needed to prevent noise in your memory index
- Dependency on on-device AI means local hardware requirements and performance overhead aren't documented; older machines or limited RAM systems may struggle
- Integration appears developer-focused; unclear if this works well for non-technical teams or designers who might benefit from context capture but aren't in the VS Code ecosystem
Pricing Details
Pricing details not publicly available.
Who is this for?
Professional developers and engineering teams (150,000+ reported users) who work across multiple tools daily and need to retain and resurface project context without manual documentation overhead. Best suited for developers using VS Code, GitHub Copilot, Claude, or Cursor; less clear fit for designers, managers, or non-technical stakeholders.