What's the most common reason people lose AI conversations?
Closing the browser tab or window without saving anything, especially after long sessions when you're tired or in a rush.
Cross-platform pillar
Losing an important AI conversation is one of the most frustrating experiences for anyone who uses AI tools for real work. This guide explains why it happens across every major platform, how context windows and attention drift actually work, and the complete cross-platform system for keeping every thread you care about.
An AI context window is the amount of text a model can hold in active working memory at once, measured in tokens. Everything in the current conversation, your messages, the model's replies, and any files you pasted, has to fit inside it. Understanding this explains almost every "the AI forgot what I said" problem, and points to the fix.
A token is roughly three quarters of a word. Current windows: GPT-3.5 around 16,000 tokens, GPT-4o around 128,000, Claude 200,000, Gemini up to 1 million, Grok 4 up to 256,000 via API and about 128,000 in the app. The whole conversation counts against it, not just your latest message, which is why long sessions fill up even when each message is short.
When the window fills you get either a hard limit (the conversation cannot accept more input) or, far more commonly, silent dropping and drift, where the oldest messages get pushed out or simply receive less of the model's attention. You are not warned. Responses just start ignoring things you established early on.
None of the major AI platforms auto-summarise your conversations for you. ChatGPT has no automatic summarisation. Claude's auto-context management (on paid plans) compresses messages when approaching the limit, but for the live conversation, not for saving a summary. Gemini and Perplexity have no automatic summarisation.
The manual workaround is to ask the AI to summarise before you leave each session, but this requires you to remember every time. thredly runs a one-click summary across every major platform: an in-page Summarize button inside ChatGPT, Claude, and DeepSeek, and paste-and-click on the web app for Gemini and Perplexity. Summaries are structured (goal, decisions, outputs, next steps), stored privately to your account, and expire automatically.
Every AI tool stores your history in a sidebar, but sidebars aren't a notes system. There's no full-text search, no structure beyond chronological order, and your ChatGPT history is siloed from your Claude history. 500 conversations in your sidebar is unusable.
Grok, like every large language model, has a context window. Grok 4 supports up to 256,000 tokens per request via API; the consumer Grok app effectively works with around 128,000. Once you approach those limits, Grok quietly drops the earliest parts of the conversation, the same pattern you see in ChatGPT and Claude. The fix is the same: compress into a structured summary, paste into a fresh thread, continue from the important context.
Closing the browser tab or window without saving anything, especially after long sessions when you're tired or in a rush.
thredly works on the web in any modern browser. An optional Chrome extension is available for desktop Chrome and Chromium browsers. Mobile AI apps have separate storage systems.
No. The context window is how much a model can hold in one active conversation. Conversation memory is about moving the important parts of that conversation into a new chat once the window fills or the thread drifts.
Yes. A good context summary is platform-agnostic. If you worked on something in ChatGPT and want to continue in Claude, a manual summary or a thredly summary works just as well.