dragthelake/ambient-context: A menu bar app that keeps a written record of what you worked on. · GitHub

A macOS menu bar app that keeps a written record of what you work on, for
your own LLM to read.

While the eye in your menu bar is open, Ambient Context reads the text of
whichever window you have focused (via the macOS accessibility tree, every
few seconds) and appends it to a plain markdown file: one file per day, in
a folder you choose. Point Claude Code or any other agent at that folder
and it can answer “what did I work on Tuesday?”, build memory about your
projects, or write your standup for you.

• No screenshots, no video. It reads text through the accessibility
  API, nothing else.
• Nothing leaves your machine. No account, no server, no telemetry, no
  bundled model. This build makes no network calls at all; the signed
  release will add a single update check against GitHub.
• Files you own. Plain markdown in a folder you chose. Move them,
  grep them, delete them.
• Redaction before writing. Password managers and private browsing
  windows are never captured. Password fields are skipped at the source,
  and credentials, API keys and card-shaped numbers are scrubbed before
  anything touches disk.
• Built to be read by an LLM. Lines are deduplicated across the day,
  interface junk is filtered out, and each block records the document path
  or URL it was looking at so your agent can open the real thing instead
  of trusting fragments. The folder carries an AGENTS.md explaining the
  format to whatever reads it.

Requires macOS 14+ on Apple Silicon.

Early and unsigned. There is no notarised download yet (Apple Developer
enrolment is in progress), so for now you build it yourself, which takes
about two minutes:

You need Node, Rust and Xcode
Command Line Tools.

git clone https://github.com/dragthelake/ambient-context
cd ambient-context
npm install
npm run tauri build

The app lands in src-tauri/target/release/bundle/macos/. Drag
Ambient Context.app to Applications and open it.

For development, npm run tauri dev runs it with hot reload.

1. The settings window opens by itself. Grant Accessibility when asked:
   this is the permission that lets the app read window text, and nothing
   works without it.
2. Choose where to save. The default is ~/Ambient Context, deliberately
   outside ~/Documents so iCloud does not sync your record off the
   machine.
3. That’s it. Recording starts once setup is complete and starts with the
   app from then on. Click the eye in the menu bar to stop; stopping is
   remembered until you start again.

Open eye: recording. Closed eye: not. Right-click the icon for today’s
file, the folder and settings.

---
date: 2026-08-25
captured_by: Ambient Context 0.1.0
---

## 09:41–10:05 · Chrome · Tauri tray documentation

url: https://v2.tauri.app/learn/system-tray/

Block headings are the day’s timeline. Body lines are written once per day
no matter how often they are seen, so the file stays small enough to hand
to an LLM whole. AGENTS.md in the capture folder documents the format
and how to read it well.

• Chromium and Electron apps (Chrome, Slack, VS Code, Obsidian, Figma…)
  only build their accessibility tree when asked, so the first seconds of
  capture in those apps are thin and fill in on later passes. Chrome may
  show a slightly glitchy window-resize animation while enabled; that is a
  known cost of the mechanism.
• GPU-rendered terminals (Kitty, Alacritty) expose little or no text.
  Terminal.app and iTerm2 work.
• Capture your findings: which apps come back rich, partial or empty is
  exactly the feedback that helps (docs/census.md has the template).

cd src-tauri && cargo test

The app reads only the focused window: never background windows, other
displays or minimised windows, and never while the screen is locked. It
excludes password managers and private browsing entirely, skips secure
input fields at the accessibility level, and pattern-scrubs secrets before
writing. Everything it produces is plaintext on your own disk, and the
capture folder is excluded from capture so it cannot observe itself. If
you find a hole in any of this, please open an issue.