Reflective Memory for AI

Memory that pays attention. Context, commitments, and past lessons surface when you need them.

Not search. Awareness.

Your agent starts every turn knowing what it was doing, what's changed, and what it learned last time.

AI that learns

Store reflections alongside facts. Past lessons, mistakes, and decisions resurface in future context — so your agent improves with use.

Tags that connect

Your tags, your structure. Connect notes into threads, organize by topic, build views that fit how you think.

Context finds you

Open commitments and past mistakes surface automatically when they're relevant.

Summarize anything

Text, audio, images, URLs. Summarize any media into searchable, semantic notes.

Every note is a living string

Notes aren't frozen snapshots — they're chains of versions you can replay and extend. When your understanding evolves, the note evolves with it. Branch off threads for different topics, then come back and pick up where you left off.

Every document tells a story

A meeting transcript has decisions buried in discussion. A policy document has provisions spanning dozens of pages. Analysis reveals what a document contains — the movements in the symphony, the arcs in the novel. Each part gets its own summary, its own tags, and becomes independently searchable.

Together: the full story, over time and in depth.


Built for AI agents

REST API, local-first CLI, MCP server, LangGraph, skills and hooks. Connects everywhere.

REST API Quick Start →

Pricing

Local use: free and open-source. Hosted service: scale as you need to.

Free Trial

Free / 30 days
  • Unlimited notes
  • 2,500 API calls/mo
  • 5 projects
  • Semantic search + tags
  • REST API

Business

$249/mo
  • Unlimited notes
  • 50,000 API calls/mo
  • 100 projects
  • Media summarization