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

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

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TL;DR · WeSearch summary

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.

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GitHub
Read full at GitHub →

Story provenance

Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/dragthelake/ambient-context
Publication timeTue, 25 Aug 2026 04:33:24 +0000
Retrieval time2026-08-25T20:58:12.729Z
Last seen2026-08-25T20:58:12.729Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterNone
Cluster logicNot yet clustered, or no peer story found in the clustering window.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

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. 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.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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