SuperCompress
Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.
Local-first AI copilot that captures, recalls, and connects your developer workflow
Pieces for Developers is a local-first AI productivity toolkit with a workflow memory agent, snippet management, and an on-device copilot spanning IDEs, browser, and desktop.
Pieces for Developers combines an intelligent snippet manager, a local-first copilot, and a long-term memory layer that tracks context across the tools developers use every day. Its standout capability is the Long-Term Memory Agent, which passively captures activity across the IDE, browser, and collaboration tools so you can later ask what you were working on, recall links, or retrieve solutions from days or weeks ago. Because it can run models on-device, sensitive code and context stay local. The product spans a desktop app, IDE plugins for VS Code and JetBrains, a Neovim extension, and a browser extension, all sharing a common context graph. Beyond memory, Pieces offers a copilot for explaining, generating, and refactoring code, plus snippet capture, enrichment, and search. This positions Pieces less as a code generator and more as a workflow memory and productivity layer that complements primary coding assistants.
Pieces is a local-first AI developer productivity tool centered on workflow memory, snippet management, and an on-device copilot across IDEs, browser, and desktop.
Pieces (Pieces for Developers) builds a local-first AI toolkit aimed at capturing and recalling the context developers generate as they work. The company emphasizes on-device processing and privacy as core differentiators.
Rather than competing head-on with code generators, Pieces positions itself as a memory and productivity layer that connects the IDE, browser, and desktop, making it complementary to tools like Copilot and Cursor.
Key capabilities include a Long-Term Memory Agent, snippet capture and enrichment, on-device copilot for explanation and generation, and cross-application context awareness. It ships desktop apps, IDE plugins, a Neovim extension, and a browser extension.
Local AI model support means sensitive code and context can remain on-device, while paid tiers add cloud sync, team context sharing, and support for custom or third-party LLMs.
Individual developers and engineering teams who want to reduce context-switching and retain workflow memory, especially those with privacy requirements that favor on-device AI.
Developers who want to capture snippets and recall past work.
Engineering managers evaluating productivity tooling.
Developer advocates and privacy-conscious engineers.
Snippet- and context-heavy engineering teams that value local-first privacy.
Privately held; funding details should be verified with the vendor.
Yes. Pieces is local-first and can run AI models on-device, keeping snippets and context private without sending them to the cloud.
Pieces offers a free-forever individual plan including local AI, unlimited snippets, and IDE plugins, with paid Pro and Teams tiers for more context and collaboration.
It passively captures your workflow across the IDE, browser, and other tools so you can later recall what you worked on, retrieve links, and find past solutions.
Pieces provides plugins for VS Code, JetBrains, Neovim, a browser extension, and integrations with tools like Obsidian, all sharing a common context.
Not exactly. Pieces focuses on workflow memory, snippet management, and on-device assistance, and is often used alongside a primary coding assistant.
Side-by-side pages for pricing, features, and best-fit use cases.
Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.
GitHub Copilot is an AI-powered coding assistant that works across multiple environments including IDEs, terminals, and GitHub itself
Replit AI is an AI-powered coding platform that turns natural language into apps and websites, integrated into the Replit development environment
Tabnine is an AI coding assistant that provides inline code completions, in-IDE chat, and agentic workflows with a focus on privacy and enterprise control