oilbeater

oilbeater / visual-base

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The second brain from your eyes.

20
0
100% credibility
Found Apr 26, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

visual-base is a macOS tool that records your screen continuously in efficient video segments and uses AI to generate daily markdown activity logs for personal reflection and knowledge management.

How It Works

1
🔍 Discover visual-base

You hear about a clever tool that captures everything your eyes see on screen, turning your day into an automatic diary without you lifting a finger.

2
📥 Get the app

You install it quickly on your Mac with a simple setup, like adding any helpful utility.

3
🔗 Link your AI helper

You connect a smart AI service once so it can watch your recordings and summarize your activities.

4
✅ Allow screen capture

Your Mac asks for permission to record the screen, and you say yes to let it start watching quietly.

5
▶️ Start recording

With one click, you launch it, and it runs in the background, saving short clips of your screen every 15 minutes without slowing you down.

6
📝 See your daily log

At day's end, you open neat markdown notes listing what you did, with times, apps, and links ready for your note-taking app.

🎉 Your second brain is alive

Now you have a complete, unbiased record of your day to review, search, or let AI query, remembering everything you saw.

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Star Growth

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AI-Generated Review

What is visual-base?

visual-base records your macOS screen continuously as compact 15-minute HEVC video segments using ffmpeg, with near-zero CPU drain. It auto-processes footage via Kimi AI to generate Obsidian-style markdown logs—one bullet per activity, with wikilinks to apps, sites, people, and projects like VSCode or GitHub. Install via `uv tool install visual-base`, run `visual-base gateway`, and get daily `YYYY-MM-DD.md` files under `~/.bub/eye/logs/` as your visual-based second brain.

Why is it gaining traction?

Unlike manual second brain apps like Notion or Obsidian, where you bias what gets captured, this passively logs everything your eyes see—unfiltered screen truth. AI turns raw video into grepable, RAG-ready indexes, spotting patterns like time in second GitHub accounts or VSCode sessions. Developers dig the effortless upgrade to second brain systems, blending video-activity-log skills with low-overhead capture.

Who should use this?

Obsidian users building second brain Obsidian setups who want visual history of workflows. macOS devs tracking GitHub second accounts, VSCode sessions, or daily movements without notes. Productivity tinkerers experimenting with second brain AI like Claude alternatives for screen-based learning.

Verdict

Alpha-stage Python tool with 19 stars and 1.0% credibility score—solid README and easy uv install, but low maturity means expect rough edges. Try it for macOS second brain experiments; delete `~/.bub/` to uninstall cleanly.

(178 words)

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