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ThreadKeeper – Save and restore Windows working context with Ollama

ThreadKeeper – Save and restore Windows working context with Ollama

by tatsube·Feb 22, 2026·2 points·0 comments

AI Analysis

●●●BangerSolve My ProblemShip It

Ctrl+Shift+S snapshots your whole context, LLM summarizes it, one-click restore.

Strengths
  • Local-first privacy: Ollama integration means zero data leaves your PC, genuine differentiator vs cloud solutions
  • Addresses real friction: 2–5 min context recovery is quantified, solves demonstrable daily pain
  • Browser tab + app state + clipboard restoration is comprehensive, not just tabs
Weaknesses
  • Windows-only at launch limits addressable market; macOS mentioned but unclear status
  • SmartScreen unsigned warning will scare corporate users despite MIT license
Category
Target Audience

Knowledge workers, developers, Windows users dealing with frequent interruptions

Similar To

Session restore in browsers · Workspace managers (i3, yabai)

Post Description

Hi HN,

I built ThreadKeeper, an open-source Windows app to solve a problem I constantly face: losing my working context due to interruptions.

When testing local LLMs or building AI agents, I usually have multiple terminal windows, IDEs, and 20+ browser tabs open. If I get interrupted, recovering that exact state takes immense cognitive load.

How it works: You hit Ctrl + Shift + S. It instantly captures your open windows, browser tabs, and clipboard (first 200 chars), and saves the state entirely locally (%APPDATA%). It then uses an LLM to auto-generate a summary of what you were doing. Later, 1-click restores all those apps and tabs.

Privacy First (Ollama Support): I didn't want my code or private keys going to the cloud. You can use external APIs (Gemini/Claude) via BYOK, but it fully supports Ollama for 100% offline, local summarization. Zero data leaves your machine.

The elephant in the room (SmartScreen): This is a free, MIT-licensed MVP. I haven’t purchased an expensive EV code signing certificate yet, so Windows SmartScreen will show a warning. I know this is a friction point, but the source code is fully open on GitHub for anyone to inspect or build themselves.

Website: https://www.thethread-keeper.com/ Github: https://github.com/tatsuabe69/thread-keeper

I’d love to hear your feedback or roast my code!

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