Pieces
On-device AI memory layer for developer workflow context
Pieces is profiled here as a Prompt Management tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Short Intro: Pieces for Developers is a local-first AI memory platform built by Tsavo Knott, Mack Myers, and Mark Widman at Mesh Intelligent Technologies, founded in Cincinnati, Ohio in 2020. The tool captures developer workflow context across IDEs, browsers, terminals, and collaboration tools, then surfaces it through long-term memory that persists for up to nine months. Knott previously co-founded MeshMyCampus, acquired by Idera, and Runtime, which was open-sourced to Google Chrome.
Key Capabilities:Greptile
Long-Term Memory Agent (LTM-2) capturing workflow context across all tools and resurfaces it for up to nine months
On-device AI processing through Pieces OS keeping all code and context off external servers by default
Code snippet management with AI-generated tags, descriptions, titles, and related links applied automatically on save
MCP support exposing developer memory to external AI clients including Claude, Cursor, and other MCP-compatible tools
Context-aware AI Copilot using accumulated workflow history rather than starting fresh each session
Cross-platform coverage across Windows, macOS, and Linux with IDE extensions for VS Code and JetBrains
Browser extension for Chrome capturing research context alongside code from web sources
Obsidian plugin for accessing saved snippets inside knowledge management workflows
CLI agent for terminal-based context capture and retrieval
Standup report generation from workflow activity without manual recall
Screenshot code extraction for pulling code from images and screen captures
Open-source Pieces OS SDK for building custom applications on top of the memory and context engine
Local and cloud LLM flexibility covering Ollama, Mistral, Llama, GPT, Claude, and Gemini
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