local-first continuity for agents

AI agents that remember where you left off.

Mirror Mind gives your agents a local memory of who you are, what you are building, and the journeys already in motion.

Your identity, memory, personas, attachments, and skills stay with you, turning separate AI sessions into one continuous working relationship.

Install Mirror Mind first. Mirror Desktop is currently available as a macOS alpha after Mirror Core is configured.

Mirror Desktop application screenshot using the Tide theme

what changes

Remember the thread.

Your agents can return to the same context instead of rebuilding it from scratch.

Keep the work in motion.

Journeys preserve direction across conversations, tools, and sessions.

Meet the right voice.

Personas let your agents shift lenses without losing continuity, so a technical question, a life decision, and a writing session do not receive the same kind of answer.

Keep memory local.

Identity, conversations, attachments, and runtime state remain on your machine.

four ways to cross the terrain

Mirror

Return to yourself before deciding. Use the agent as a reflective surface for sensemaking, positioning, writing, and life direction.

Explorer

Hold uncertainty without rushing into implementation. Let possibilities thicken before they become commitments.

Build

When the direction is clear, move into construction. Edit code, shape docs, run validations, and preserve the reasons behind the work.

Soul

Enter a quieter listening mode for inner life. Not productivity, not advice, but a ritual surface for what is asking to be heard.

a method for keeping the path visible

Ariad keeps agent work traceable.

Ariad is Mirror Mind's method for keeping agent work traceable. It began in software development, where every change needs a reason, evidence, and closure. But the pattern is broader: exploration before commitment, action with context, and a visible path you can return to.

Explorative Work

Use exploration when the direction is still forming. Ariad preserves tensions, hypotheses, attractors, and small experiments before they become commitments.

  • shaping a product direction
  • comparing possible architectures
  • sensing whether an idea is ready to build

Delivery Work

Use delivery when the commitment is ready to become real. Ariad carries the story through implementation, validation, review, and closure so the work keeps its reason, not only its result.

  • implementing a feature
  • running tests and recording evidence
  • shipping a signed desktop update

Refinement Work

Use refinement when something real needs to change without losing its boundary. Ariad captures the request, clarifies scope, records validation evidence, and closes the change only when the reason has been honored.

  • changing a landing page section
  • deciding what belongs in a release
  • turning feedback into a bounded improvement

The agent does not only answer or act. It leaves a path you can inspect, resume, and trust.