Pieces for Developers
Long-term memory for your entire developer workflow
Founded
2020
Starting Price
Category
Productivity
Last updated March 11, 2026
About Pieces for Developers
Pieces for Developers is an on-device AI assistant that captures and remembers everything you work on across IDEs, browsers, and terminals. It provides AI-powered code snippet management, long-term memory spanning 9+ months, and a Copilot-style chat assistant — all processed locally for maximum privacy and security.
Pros & Cons
Pros
- Privacy-first architecture with on-device AI processing by default
- Generous free tier with access to multiple LLM models and 9 months of context memory
- Excellent cross-tool integration across IDEs, browsers, and terminals
- Automatic context capture requires no manual effort to build workflow memory
- Supports both cloud and fully offline operation for sensitive environments
Key Features
Long-Term Memory
Automatically captures and indexes code, links, notes, and conversations across all your dev tools for up to 9+ months of searchable history.
On-Device AI Processing
Runs entirely on your local machine by default, ensuring complete privacy and security without sending data to external servers.
Pieces Copilot
AI-powered chat assistant that understands your workflow context and provides real-time coding assistance based on your history and current project.
Code Snippet Management
Save, organize, and reuse code snippets with automatic tagging, language detection, and contextual metadata enrichment.
Cross-Tool Integration
Connects with VS Code, JetBrains IDEs, Chrome, Edge, Obsidian, and other tools via plugins to capture context from your entire workflow.
Deep Study Reports
Generate comprehensive, sourced summaries of your recent work to quickly get up to speed on past projects and decisions.
Multi-LLM Support
Pricing
Free
- Copilot-style code assistance
- 9 months of personal context
- Basic LLM access
- Desktop app for Windows, macOS, Linux
- IDE and browser extensions
Best For
Code Snippet Reuse
Developers who frequently reuse code patterns across projects can save, organize, and instantly retrieve snippets with full context and metadata.
Onboarding & Context Recovery
Quickly get up to speed on past projects or codebases by searching through months of captured workflow history and generating Deep Study reports.
Privacy-Sensitive Development
Teams working on proprietary or classified projects can leverage AI coding assistance entirely on-device without any data leaving their machine.
Multi-Tool Workflow Management
Developers juggling multiple IDEs, browsers, and documentation tools can centralize all their context in one searchable knowledge base.
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