ActiveExtensionCollaborativelocal

Pieces for Developers

Pieces runs locally on your device, automatically forming memories of code, docs, chats, and more as you work. Its proprietary LTM-2 engine gives LLMs pinpoint accurate context, enabling time-based queries and natural search across up to 9 months of memories. It integrates via plugins and MCP with tools like VS Code, Chrome, GitHub Copilot, Claude, and Cursor, making it an invisible second brain that preserves your flow during research, meetings, deep work, and collaboration.

Official Site

Pricing model

Freemium

Starting price

Free

Agentic power

Collaborative

Context window

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Underlying Models

GPT-4oClaude Sonnet 4.5

Strengths

Invisible, automatic memory without manual saving
OS-level context across all apps and tools
Proprietary LTM-2 for highly accurate LLM responses
Private and secure: runs on-device, cloud optional
Seamless integration with popular IDEs and AI tools

Limitations

Primarily focused on developers, less suited for non-technical users
Cloud features require optional account and may have limits
Memory retention up to 9 months may not suit long-term archival needs
Dependent on local device resources for performance
Limited to supported plugins and MCP integrations

Key Features

Automatic OS-level memory capture of code, docs, chats, and tabsLTM-2 Long-Term Memory Engine for LLM contextTime-based queries and natural language search1-click save, search, and AI-tag code snippetsReal-time context for cloud and local LLMsPlugins for Chrome, VS Code, JetBrains, and moreMCP integration with GitHub Copilot, Claude, Cursor, GoosePrivate by design: local-first, air-gapped from cloud

Use Cases

Automatically capturing code snippets and context during development

Quickly recalling past work, meetings, or research without manual notes

Providing LLMs with full project context for accurate code generation

Searching across months of work using natural language queries

Reusing and organizing code snippets with AI tagging

Collaborating with teammates by sharing captured context

Maintaining flow during deep work without interrupting to save

Integrations

VS CodeJetBrainsChromeGitHub CopilotClaudeCursorGooseMCP

Supported Languages

JavaScript TypeScript Python Java C# Go Rust C++ Ruby PHP Swift Kotlin

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