Pieces Review, Pricing & Alternatives (2026)

Pieces began in late 2020 as an AI-enabled micro-repository, added Pieces Copilot in late 2022, and launched Pieces Copilot+ with Live Context across desktop, browser, and IDE integrations in 2023. The company announced a $13.5 million Series A led by Drive Capital in July 2024 and reported more than 100,000 users at the Copilot+ launch. An August 2025 update announced investment from Flat Capital and described Long-Term Artificial Memory, including LTM 2.7, DeepStudy, and LTM 2.5-Local. The developer workflow-memory product remains active. It is separate from Pieces Technologies, a clinical-AI company acquired by Smarter Technologies in 2025. Pieces presents its product as a commercial suite of on-device AI tools that captures, organizes, and supplies work context to developers and teams through integrations including MCP.

Pieces runs in the background and builds a searchable timeline from work context, including code, chats, research, email, notes, meetings, and selected audio. Users can search by time, topic, person, or tool, then create standup updates, morning briefs, meeting preparation, and daily recaps. PiecesOS stores captured context locally and connects that information to desktop, browser, IDE, command-line, and MCP workflows. Supported integrations include Chrome, Safari, Arc, Slack, Microsoft Teams, Google Docs, Notion, Figma, Claude, ChatGPT, GitHub Copilot, Codex, Cursor, VS Code, JetBrains, and Xcode. Capture controls let users pause collection or restrict it by application, website, or method, including vision, clipboard, and audio. The system therefore combines cross-application history with configurable collection rather than limiting context to a single development environment.

The product supports Claude, Gemini, ChatGPT, and local models, with cloud families available through Fast, Balanced, and Extra Thinking modes. Its local components handle on-device capture, indexing, code analysis, secret detection, language detection, and metadata generation. PiecesOS also exposes MCP, allowing assistants including Cursor, VS Code, Claude, and ChatGPT to access workflow context through the local backend. The official update index lists Agentic Long-Term Memory and Meeting Prep in May 2026; scheduled summaries and a rebuilt local LLM engine in March 2026; audio capture in February 2026; time breakdown in January 2026; Home Base and single-click summaries in December 2025; Nano-Models and LTM-2.5 in April 2025; LTM connections to AI tools that month; and LTM-2 with the Workstream Activity timeline in March 2025.

Pieces shows no permanent free plan on its current pricing page. New users receive a seven-day trial on any plan, a card is required, and every plan includes a 14-day money-back guarantee. Pro costs $18.99 per user monthly when billed monthly, while the page states that annual billing saves 25% without displaying the exact annual amount. Enterprise costs $22.99 per user monthly, $69.99 per user quarterly, or $275.99 per user yearly according to organization documentation. Pro provides on-device Long-Term Memory, capture across applications and websites, summaries and recaps, model switching among Claude, Gemini, ChatGPT, and local models, and unlimited MCP. Enterprise adds organization-wide capture and feature controls, approved AI providers, and customer API keys. No seat minimum, seat maximum, or usage cap was disclosed on the observed official pages.

Pieces is proprietary software, and the complete product is neither open source nor offered as a self-hostable server. PiecesOS is a locally installed backend that captures, indexes, and stores work context on the device, while cloud AI requests receive only scoped context. The vendor states that it is SOC 2 Type II certified and does not train models on user data, although selected cloud providers remain part of the processing path. Its local MCP server delivers persistent context to compatible tools, distinguishing Pieces from Rewind or Limitless, which focus more broadly on personal memory. Compared with Cursor, GitHub Copilot, Sourcegraph Cody, Continue, or Tabnine, Pieces emphasizes cross-application temporal context rather than primarily generating code. Developers should choose Pieces when local-first memory and MCP delivery matter more than a standalone coding agent.