Pieces is a developer memory tool that captures code snippets, links, and context across your workflow, then resurfaces them with on-device AI assistance.
Pieces tackles a quiet productivity drain: the constant loss of context. It captures code snippets, screenshots, links, and terminal commands as you work, enriching each with metadata like origin, language, and relevance. Its copilot can then answer questions grounded in your personal workflow history — what that error meant yesterday, where a similar fix was applied last week. The long-term memory layer runs on-device with options for entirely local models, appealing to developers who want AI assistance without shipping their history to a vendor. Integrations span IDEs, browsers, and collaboration tools, and the timeline view reconstructs what you worked on by day. For teams, shared collections distribute useful snippets and solutions without ceremony. Its recent releases add richer recapture — automatically reconstructing the code and context around saved work — so returning to yesterday’s problem costs a search rather than an archaeological dig through browser history and chat logs.
Pieces offers a free tier with core capture and copilot features. Paid plans add cloud sync across devices, extended history, and team collaboration features, with enterprise deployment options available.
Developers who juggle many projects and lose time re-finding solutions, and privacy-conscious engineers who want AI memory that stays on their machine. It fits developers who context-switch constantly and value recall, as well as teams that want a shared, searchable memory layer for the solutions they work out together.