[FEATURE] Feature Request: User-selectable context linking between conversations in ChatGPT

[NordanViking]

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🎯 Background – The problem today

Many ChatGPT users work on long-term topics:
• Ongoing technical discussions
• Creative projects
• Research notes
• Personal planning
• Repeated thematic conversations

But currently there is no way to link, re-use or activate context from previous conversations.

Each chat thread is isolated, which leads to:
• Re-explaining the same things over and over
• Losing long-term continuity
• Token and GPU waste
• Reduced usability for serious projects
• Frustration for both users and the system

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✅ Proposed solution: User-controlled context activation

Add a feature that allows the user to select which past conversation threads should be active in the current chat.

Two possible interaction styles:

1. Command-based

“Include the heat pump discussion from September 27.”
“Link the thread where we talked about freedom of speech.”

2. Visual checkbox selector

Example:

[✓] Game rules project – Oct 10
[ ] Music discussion – Sep 29
[✓] Energy system planning – Oct 1
[ ] Genealogy thread – Aug 22

Only selected threads get loaded into context.

This is not permanent memory – it is temporary, user-chosen context.

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🧠 Example use case

A user has 8 deep chats over months:

• Heat pump installation
• Role-playing game rules
• Personal health research
• Long-term philosophical topics
• Coding experiments
• AI art prompts

Instead of summarizing again, the user simply activates the threads they want, and continues instantly.

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📌 Benefits for users

✅ Can build long-term projects without repetition
✅ No more “start from zero” effect
✅ User has full control over what the model should remember
✅ No accidental context-bleed from unrelated chats
✅ Saves time, energy and frustration

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⚙️ Benefits for OpenAI / system side

✅ Reduces token usage (only relevant threads loaded)
✅ Reduces GPU cost per answer
✅ Less unnecessary context-processing
✅ Fewer hallucinated memories
✅ Clearer privacy model (explicit user-consent)
✅ Higher trust and usability for serious work

Even a 10–15% average token reduction per conversation scale-wide = massive cost savings.

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🔄 Summary

This feature would:

✔️ Make ChatGPT scalable for long-term real projects
✔️ Allow intentional, selective memory without risk
✔️ Reduce wasted tokens and compute
✔️ Improve output accuracy
✔️ Create a new “middle layer” between full memory and no memory at all

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📎 Possible feature names

• Selectable Memory
• Linked Threads
• Context Picker
• Memory Switchboard
• Manual Context Linking
• “Use Conversation X in this Chat”

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🖊️ Proposed by

GitHub user: NordanViking
Alias: NordanViking

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Thanks for reading – I hope this idea is useful for both users and OpenAI.

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[NordanViking]

🔁 Update – Version 2 (Nov 2025)

Added idea: Bookmark Mode / Saved Context Sets

Building on the original proposal, here is a complementary feature extension:

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💡 New addition: “Bookmark Mode” / Saved Context Groups

After selecting multiple past threads (via checkbox or command),
the user should be able to save that selection as a reusable preset.

Example:

📁 Preset: “Heat Pump Project”

• [✓] Energy usage discussion – Oct 1
• [✓] Installation notes – Sep 27
• [✓] Brand comparison thread – Sep 30

📁 Preset: “Book Writing / Worldbuilding”

• [✓] Lore notes
• [✓] Character drafts
• [✓] Language construction thread

✅ One-click load of a full working context
✅ No need to re-select threads every time
✅ Works like browser bookmarks, but for AI memory-scope

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🧠 Why this matters

• Makes long-term multi-thread projects even faster
• Prevents UI overload (no manual re-checking the same boxes)
• Enables a new workflow: “AI as ongoing workspace”
• Still fully user-controlled (no auto-memory, no unwanted recall)

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🔒 Same privacy model

Nothing is stored unless the user explicitly saves a preset.
User can rename, delete, or export presets at any time.

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If the original feature is Selective Context,
then this extension is Saved Context Profiles.

It turns ChatGPT from “one conversation at a time” into a real project hub.

Happy to expand if needed – just let me know.

[NordanViking]

🔄 Update: Part 3 – "Continuous Mode"

Another improvement idea that fits together with the original proposal:
A “Continuous Mode” that automatically creates a new conversation in the background when the token/context limit is reached, and continues the chat seamlessly.

Key points:

• No interruption for the user – the conversation just keeps going
• The new thread is automatically linked to the previous one
• User can choose ON / OFF (or “ask before continuing”)
• Prevents repeated restarts of the same conversation
• Reduces duplicated context → fewer total tokens → lower energy/gpu usage
• Works well together with the manual thread-linking idea

In short:

Instead of forcing the user to start over, the system continues – and only the thread container changes, not the conversation itself.

Let me know if this should be added to the main description. I can also create a small visual mockup if helpful.

[NordanViking]

🔁 RESCROLL — “Return & Scroll”

A simple UI function that lets the user jump back to any earlier part of the same conversation without forcing the AI to rewrite or re-summarize content that already exists in the chat.

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🧠 Problem it solves

When the user says:

“Scroll back to when we talked about X”

the AI can’t do it — it has to retype the answer, wasting:

• tokens
• energy
• time
• attention

Even though the text is already on the screen.

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✅ What RESCROLL does

Adds a button or command that lets the AI instantly:

1. Reveal the exact part of the chat the user refers to
2. Auto-scroll / jump to that position
3. Highlight the relevant message(s)

No regeneration.
No guessing.
No redundant output.
Just jump to it.

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🔍 Why it matters

This feature:

• reduces token-waste
• removes repeated answers
• makes long chats usable again
• works perfectly with Continuous Mode + Bookmarks
• lowers server load (less re-generation)

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🧩 Ideal integration

RESCROLL becomes a standard UX element next to “Copy / Regenerate / Share”

Example:
🔎 Go to message → “Continuous Mode explanation”

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📌 Summary

RESCROLL = memory retrieval without rewriting.

Chat stays clean, navigation becomes instant, and the AI stops repeating itself.