Automatic long-term memory
Pieces automatically forms memories from code, docs, chats, tabs, and other work activity so context is captured without manual note-taking.
Pieces
RivendicaPieces is an AI companion and desktop app that captures context from browsers, IDEs, and collaboration tools, turning work history into searchable memories.
What Pieces does
Pieces is an AI companion and desktop app that captures live context from the apps you already use, then organizes that context into memories you can search and reuse later. The product is positioned as an "infinite artificial memory" for digital workers and agents, with support for browsers, IDEs, and collaboration tools.
The core job of Pieces is to reduce the need to remember where something happened, what was decided, or which snippet mattered. It automatically saves work context, links it to the bigger picture, and lets you retrieve it with natural search or time-based queries. The pricing page adds that it supports both individual and team memory workflows, with team shared memory and the option to bring your own model or choose preferred LLMs.
Core capabilities
Context-linked recall
Saved tabs, messages, and snippets stay tied to the surrounding context so you can return to work with the relevant background intact.
Search across past work
The product supports time-based queries, natural-language search, and a stated memory window of 9 months for individual context.
Cross-app capture
Pieces works across apps you already use, including browsers, code editors, and collaboration tools, and the source specifically mentions Chrome and VS Code.
LLM and assistant integration
Pieces can connect personal context to models and assistants such as GitHub Copilot, Claude, Cursor, and Goose through MCP and plugins.
Local-first privacy controls
The app runs on-device with cloud optional, giving users local processing and control over what leaves the environment.
Where it fits
Daily stand-up updates
Pieces captures browser research, terminal activity, and code changes so you can ask for a stand-up summary instead of reconstructing your day manually.
Resuming interrupted work
Use the memory layer to return to prior tabs, messages, and snippets when picking up a task after an interruption or context switch.
Research and reference tracking
Keep links, highlights, and keywords tied to the surrounding context so research is easier to revisit than a separate bookmark list.
AI-assisted coding with personal context
Connect personal context to assistants like Claude, Cursor, GitHub Copilot, or Goose when you want AI output grounded in your own recent work.
Shared team memory
Let a team share context and insights across people and tools so work history is easier to follow without losing the thread.
Pros and Cons
Pros
- Captures context automatically across apps instead of relying on manual note-taking.
- Supports local processing and positions cloud use as optional.
- Offers search by time and natural language to help users find older work.
- Connects with popular assistants and supports bring-your-own-model workflows for teams.
- Includes a dedicated stand-up workflow that turns captured work into a contextual update.
Cons
- The public pages do not provide a full integrations list or a detailed limits table.
- Team pricing is not published on the source pages and requires contacting sales.
- Several workflow details are described broadly rather than with step-by-step product documentation.
FAQ
Is my data processed locally?
Pieces processes data locally where possible and is described as running on-device. The pricing page also says it will never use your data for anything and that cloud use is optional.
Does Pieces support team usage?
Yes. The pricing page says team plans support shared memory across teams, with 9 months of team context and the ability to bring your own model or choose preferred LLMs such as OpenAI, Anthropic, and Ollama.
What kinds of work can Pieces remember?
Pieces captures context from browsers, code editors, and collaboration tools, and the stand-up workflow shows it can combine browser research, terminal activity, Slack discussions, and code changes into a contextual summary.
Which LLMs or AI tools can it work with?
The source shows support for using leading cloud and local providers or your own key, plus deeper memory connections with tools like GitHub Copilot, Claude, Cursor, and Goose.
What plans are available?
The public pricing page highlights a free individual plan and a team option with contact-for-pricing sales flow, but the source does not provide a full limits table or pricing amounts.
Quick Facts
- Category
- Developer Tool, Productivity, AI Chat
- Platform
- Desktop app
- Primary users
- Developers and digital workers
- Source domain
- pieces.app
- Deployment
- Runs on-device with optional cloud use
- Pricing
- Free individual plan; team plan with contact-for-pricing flow