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Save & Export Chat History for ChatGPT, Claude & GeminiThe missing OS for your AI chats. Auto-save, collect, organize, highlight, and search everything in one place.
Works with
Great question — it sounds abstract until it bites you in production, so let's keep it concrete.
The CAP theorem says a distributed system can only guarantee two of these three properties at the same time:
- Consistency — every read sees the most recent write, everywhere.
- Availability — every request gets a non-error response, even under load.
- Partition tolerance — the system keeps working even when messages between nodes are dropped or delayed.
Since network partitions are unavoidable in the real world, you are really choosing between consistency and availability when one happens.
A bank balance leans CP: it would rather reject a request than show you a wrong number. A social feed leans AP: a slightly stale like-count is fine as long as the page always loads. In practice most teams tune this trade-off per feature instead of picking one global answer for the whole system.
Auto saveChats (6)
Kyoto itinerary for autumn
Here is a 5-day plan that balances temples, food, and peak foliage season, with a rainy-day backup for each afternoon.
Refactor the auth middleware
We can extract token validation into a reusable guard so the routes stay thin and the logic is testable in isolation.
useEffect cleanup, explained
The cleanup function runs before the next effect and on unmount, which prevents stale subscriptions and memory leaks.
Today's AI headlines, summarized
Three stories stood out: a new open-weight model, a chip supply partnership, and fresh agent benchmarks.
Dynamic programming: coin change
The bottom-up table fills in O(amount × coins); here is the annotated solution with the base cases spelled out.
Draft a weekly status report
Lead with outcomes, then risks, then next steps. Keep each bullet to a single line so skimming stays fast.
Everything you need to turn AI chats into usable knowledge
Aggregate, organize, and find important conversations without leaving your browser.
Pro-grade Markdown exports
Your data remains yours. Export chats as clean Markdown with code blocks and formatting intact, then move them into Notion or Obsidian.
Cross-platform chat aggregation
Aggregate chats from Gemini, ChatGPT, Claude, DeepSeek, Grok, and Yuanbao with one click. Keep your AI conversation history in one searchable place.
Highlights and context memos
Highlight text and add notes as you read. Save the context and reasoning behind key answers.
Instant full-text search
Built on a fast local search index. Find yesterday's insight or last month's snippet in milliseconds.
Mermaid diagram rendering
ChatKeep renders Mermaid diagrams in Gemini and ChatGPT, so complex logic is easier to understand at a glance.
Gemini Deep Research export
Export Gemini Deep Research reports to your local archive, so long reports stay searchable and easy to reuse.
How ChatKeep works
From your first chat to a searchable knowledge base, in three steps.
Auto-save everything
ChatKeep auto-saves each conversation locally as you chat across Gemini, ChatGPT, Claude, DeepSeek, Grok, and Yuanbao — no manual export needed.
Highlight & organize
Select key passages, add notes, and let full-text search index everything instantly.
Find, export & sync
Pull up any conversation in seconds, export clean Markdown, or sync across devices with cloud sync.
Use cases
How people are using ChatKeep
For Developers
Save snippets, logs, and architecture decisions. Pull them up when the same issue shows up months later.
For Researchers
Collect summaries, citations, and brainstorming sessions. Export to Markdown when you're ready to write.
For Students
Keep explanations, study guides, and language practice in one place. Review highlights and notes before exams.
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