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Show HN: Screen memory without screenshots, just text to Markdown

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Why This Matters

Ambient Context introduces a privacy-focused macOS app that passively records text from your focused windows into markdown files without capturing screenshots or transmitting data. This enables users to build personal project memories and interact with LLMs without compromising privacy or security, making it a significant step toward secure, local AI integrations in the tech industry. Its emphasis on local processing and data privacy appeals to consumers seeking secure productivity tools.

Key Takeaways

Ambient Context

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.

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.

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.

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.

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.

Status

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