
memi delivers an AI workbench tailored for product designers handling agent workflows and memory.

The tool centers on a single desktop environment where designers launch agent sessions with visible controls for authentication, permissions, and model selection. Users can review prompts, plans, and costs through structured receipts that remain compact until expanded for detailed logs. Memory features convert decisions, research notes, and tokens into reusable project context stored in readable formats. Boards can be prepared locally with Mermaid diagrams or FigJam sources prior to any external sharing, and a Figma bridge pulls tokens or components on demand. Additional capabilities include automated audits for design consistency, accessibility, and code connections, plus skill modules that capture screen critiques and apply tenets to guide iterations. Advanced options extend to other agents like Ollama when required, all within a signed application focused on maintaining design system integrity.
Launch Codex or Claude Code sessions inside the signed macOS Studio app while supplying project memory, design-system context, and explicit permissions for controlled agent execution.
Convert decisions, tokens, research notes, and run receipts into editable Markdown/YAML design memory that agents can read, diff, and reuse across sessions.
Connect the Figma bridge to pull tokens and components, then run audits for design-system consistency, accessibility, and Code Connect coverage before exporting Mermaid or FigJam source.
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Our take: memi is a solid design choice. It's valued for apple-signed macos app with local runtime for security and keeps all design memory readable, diffable, and reusable. The main trade-off is macos-only desktop application. A good pick if you want capable AI without a high upfront cost.
memi is distributed as a signed native macOS application with additional CLI packages available via npm and Homebrew.
memi is a solid design choice. It's valued for apple-signed macos app with local runtime for security and keeps all design memory readable, diffable, and reusable. The main trade-off is macos-only desktop application. A good pick if you want capable AI without a high upfront cost.
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