# novoid/Memacs

What did I do on February 14th 2007? Visualize your (digital) life in Org-mode

Repository: https://github.com/novoid/Memacs
Canonical: https://ross.abutalabs.com/products/memacs
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: python, emacs, quantified-self, email, search, git, filesystem, files, orgmode, pim, personal-information-management, org-mode
Last push: 2026-05-25T17:20:58+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 35, longevity 100
- inputs: {"age_days": 5520, "days_push": 100, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1109, forks 67 (observed 2026-08-28T04:03:37.318662+00:00)

## What it is
Memacs is a Python toolset that extracts metadata from various digital data sources (emails, files, git commits, photos, etc.) and converts it into Emacs Org-mode format. It lets you visualize and search your digital life as a unified Org-mode timeline.

## Use cases
- find out what I did on a specific date years ago
- index my emails and files into an org-mode timeline
- visualize my digital life in Emacs org-mode
- search across git commits, files, and messages by date
- build a personal quantified-self archive from existing data

## When to choose
- you live in Emacs and use Org-mode for personal information management
- you want a searchable, timestamped record of your digital activity from many sources
- you prefer plain-text, file-based personal archives

## When to avoid
- you don't use Emacs or Org-mode
- you need a GUI-based personal information manager
- you want real-time analytics dashboards rather than text timelines

## Facets
- artifact type: cli-tool
- maturity: active
- function: search-engine, data-visualization, cli, email, file-system
- domain: developer-tools
- platform: python, cli, cross-platform
- tags: org-mode, emacs, quantified-self, pim, digital-memory, life-logging, personal-information-management

## Member repositories
- novoid/Memacs (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.318662+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:43:37.400997+00:00, confidence not recorded.
  - readme: https://github.com/novoid/Memacs (fetched 2026-08-28T04:03:37.318662+00:00, sha 761a89582afa)
  - registry_pypi: https://pypi.org/pypi/memacs/json (fetched 2026-08-29T12:47:32.171571+00:00, sha 3f2bea3d7a81)
- Data as of 2026-08-30T08:39:29.467469+00:00.