AbstractNote

One endpoint for everything you want to remember. Send a sentence, a document, a photo, a recording, a log. AbstractNote files it with its time, place and provenance, links it to what you already know, and grows a temporal semantic knowledge graph of your ideas, projects, people and decisions. You search it by effort (quick, standard, deep) and revisit it through time: what you knew, when you learned it, and how your view changed.

AbstractNote is part of the AbstractFramework. It runs on AbstractGateway (sign-in, one runtime and one notebook per user, app hosting), AbstractRuntime and AbstractFlow (the capture and understanding workflows), AbstractMemory (temporal facts) and AbstractCore (models, structured output, embeddings).

Status: version 0.2.0, alpha. The Python package is abstractnote on PyPI and the web app is @abstractframework/note on npm (see Install).

What you get

• Capture anywhere: the web app, the Apple Watch app, the abstractnote command line, and agents. Attachments are de-duplicated by content; a retried send never saves a note twice.
• Automatic filing: a small fast model gives each note a title, a kind, topics, an urgency and its language, next to the time and place it was made.
• Self-organising knowledge: a model resolves people, projects and ideas against candidates that exact lookups, full-text and vectors produce. Every change is a revision you can replay, and every claim keeps the note it came from.
• Remember by cue and effort: quick (no model, under a second), standard (one synthesis with citations), deep (a background dossier). Then-versus-now for any person, project, idea or link.
• Reflection: open loops, contradictions, things that went quiet and connections you may have missed, surfaced as insights.
• Imports: Claude Code sessions, an agora hub database, Markdown trees and plain files, with their original dates and provenance.

Install

AbstractNote needs Python 3.10 or later. Install it with the gateway integration:

pip install "abstractnote[gateway]"
abstractnote --help

This brings AbstractMemory 0.4.0 or later, AbstractRuntime 0.15.0 or later and AbstractGateway 0.17.0 or later. The gateway carries the AbstractNote integration (abstractgateway.abstractnote_seam) since 0.15.11: with abstractnote installed in the gateway's environment, every user gets the note tools, the note read API under /api/gateway/note and the note workflows. pip install abstractnote alone is enough for a headless notebook on one machine. To run models locally on Apple silicon, add pip install "abstractcore[apple]" (MLX).

The web app is the npm package @abstractframework/note, which the gateway's app catalog installs and serves as the Note app. To work on AbstractNote itself, install it from a source checkout; see CONTRIBUTING.md and docs/getting-started.md.

Quick start

A headless notebook on this machine, no gateway and no model:

abstractnote capture "Met Dana about the LUT budget; she wants the Pareto by Friday." --notebook ~/notes
abstractnote search "LUT budget" --notebook ~/notes
abstractnote status --notebook ~/notes

Let a model understand the queued notes (entities, claims, tasks), then ask a question:

abstractnote process --local --notebook ~/notes --provider mlx --model mlx-community/Qwen3.6-35B-A3B-4bit
abstractnote search "What does Dana want?" --effort standard --notebook ~/notes \
    --provider mlx --model mlx-community/Qwen3.6-35B-A3B-4bit

A notebook is pinned to the embedding model that created it. Choose it on the first command (--embed-base-url and --embed-model, for example a local LM Studio embedding model) and give the same flags every time, or start with the built-in offline embedder and change later with abstractnote rebuild --reembed. See docs/getting-started.md.

Through a gateway, clients start the note-capture and note-recall flows with the gateway's runs API, and POST /api/gateway/note/processor/ensure creates the per-user processor that understands notes in the background. The getting-started guide walks through a private scratch gateway, the web app and the watch app.

Clients

An iPhone app is planned (phone/iphone/). Agents use the same note tools and flows, with the effort level as a parameter.

Documentation

• docs/README.md: the documentation index
• Getting started: a headless notebook in five minutes, then the gateway path
• Architecture: components, data plane, request lifecycles
• API: runs API usage, note read API, note tools, Python API, CLI
• Data model, Cognition, Remembering, Clients, Importers
• FAQ and Troubleshooting
• Contributing, Security, Changelog, Acknowledgements

License

MIT. See LICENSE.