Pieces for Developers

Pieces for Developers is the AI memory layer for developers and AI agents that uses Long-Term Memory (LTM) technology to capture and preserve developer context across browsers, code editors, terminals, and collaboration tools, letting developers reference past work, code snippets, conversations, and decisions without manually saving everything. Founded in 2020 in Cincinnati by Mesh Intelligent Technologies, Pieces raised $13.5 million in Series A funding led by Drive Capital in July 2024, with additional investment from Flat Capital in August 2025. The platform serves over 150,000 developers and won #1 Product of the Day on Product Hunt. Pieces differentiates from GitHub Copilot, Cursor, and Cline through its cross-tool memory architecture rather than IDE-only AI: instead of providing AI assistance only within a code editor, Pieces captures context from browsers, code editors, and terminals in a unified memory layer via its proprietary LTM-2.7 engine operating at the OS level. The Workstream Activity view in the desktop app chronologically lists recent events in structured roll-ups, and the stand-up feature generates daily work summaries from captured context. Integration depth is exceptional across developer surfaces. Pieces ships dedicated plugins for VS Code (95,000+ installs), JetBrains (34,000+ installs), Visual Studio (15,000+ installs), Obsidian (10,000+ installs), JupyterLab (3,000+ installs), Sublime Text, and Neovim, plus a browser web extension (15,000 installs covering Chrome, Edge, Firefox, and Brave), a CLI tool, and a Raycast extension. Pieces exposes an official MCP server that connects its Long-Term Memory to coding agents including GitHub Copilot, Claude, Cursor, and Goose, letting those tools query captured context directly. The platform supports cloud models (OpenAI, Anthropic), local models (Ollama), and proprietary nano-models, giving teams flexibility on data residency. No dedicated plugins exist for project management tools like Jira or Linear, or for collaboration platforms like Slack or Microsoft Teams. Pricing is tiered with a generous free Individual tier. Individual at $0 covers 9 months of personal context with basic Copilot assistance and email support. Teams adds 9 months of team context with shared memory, BYOK or preferred LLM choice (OpenAI, Anthropic, Ollama), and priority phone and email support, custom-priced for organizations. No self-serve Teams tier is available: organizations must contact sales to evaluate team features. Pieces is not the right fit for teams expecting an autonomous coding agent. It is a memory and context layer, not an autonomous engineering platform. Teams needing AI-driven code generation should evaluate Cursor (from $20/mo) or Claude Code (from $17/mo billed annually) instead, and use Pieces alongside those tools as a complementary persistent memory layer. The custom Teams pricing creates friction for mid-market teams that want to self-serve without a sales conversation. Current state Q3 2026: Pieces processes data locally where possible and explicitly commits to never using customer data, confirmed on the official pricing page FAQ. The platform is SOC 2 Type II certified. LTM-2 launched March 2025 with Workstream Activity and nine months of on-device workflow history. Nano-models shipped April 2025 with LTM-2.5, and the memory engine is now on LTM-2.7. Scott Hanselman (VP of Developer Community at Microsoft) has publicly endorsed Pieces. The G2 listing previously associated with Pieces for Developers is no longer active. Pieces is designed as complementary to AI coding tools: developers can use it alongside Cursor, Copilot, or any other coding tool, with Pieces providing the persistent memory layer that those tools lack.