ShareGPT and Lore both produce a link to an AI conversation, so they look similar at a glance. They are built for different conversations. ShareGPT (and ChatGPT's native shared links, which have replaced it) turn a chat with a chatbot into a static, read-only web page. Lore captures the coding-agent sessions your engineers run inside Claude Code, Codex, and Cursor, and turns them into searchable, forkable artifacts your whole team can use.
This is a short guide to the difference, and which one fits what you are actually trying to share.
The one-sentence difference
ShareGPT shares a chatbot conversation as a frozen snapshot. Lore shares a coding-agent session as a living, searchable artifact.
If you want to show someone a clever ChatGPT exchange, a shared link is the right tool. If you want your team to find, read, comment on, and build on the AI sessions behind your code, that is what Lore is for.
A note on ShareGPT's status
ShareGPT began as a Chrome extension that let you share a ChatGPT conversation with one click, publishing it to a sharegpt.com URL. It is now deprecated, and OpenAI's built-in sharing has become the standard. ChatGPT shared links create a static, read-only snapshot of an entire conversation at a chatgpt.com/share/... URL that anyone with the link can view. You manage those links from Settings, under Data Controls.
For the rest of this guide, "ShareGPT" means this whole category: one-click links that publish a chatbot conversation as a static page.
At a glance
|
Lore |
ShareGPT / ChatGPT share links |
| What it shares |
Coding-agent sessions (Claude Code, Codex, Cursor, Cowork) |
Chatbot conversations (ChatGPT) |
| Format |
Parsed, structured thread with tool calls and diffs |
Static read-only snapshot of the chat |
| Searchable across a team |
Yes |
No |
| Tool calls, file diffs, and code |
Rendered and syntax-highlighted |
Only what was pasted into the chat |
| Comments and review |
Yes, block-level |
No |
| Fork and continue the work |
Yes |
No |
| Visibility control |
Private, workspace, or public |
Anyone with the link |
| Team workspace |
Yes |
No |
| Cost |
Free to start; Team $20/seat/mo |
Free |
What ShareGPT is good at
ShareGPT-style links are great for one thing: showing a single conversation to other people quickly and for free. If you had a memorable back-and-forth with ChatGPT and want to post it, a static link is perfect. No account needed to view, nothing to set up, instantly public.
Its limits follow from being a snapshot. The page is read-only and frozen at the moment you shared it. It is not searchable alongside your team's other conversations, it has no structure beyond the raw chat, and there is no way for a teammate to comment on a specific step or pick up the work where it ended.
What Lore is good at
Lore is the home for your team's AI coding sessions: it turns every Claude Code, Codex, Cursor, and Cowork session into a searchable, shareable URL the whole team can read. The difference from a chat snapshot is the kind of conversation and what Lore does with it.
A coding-agent session is not a chatbot transcript. It is prompts, tool calls, files the agent read, diffs it produced, and the reasoning between turns. Lore parses all of that into a structured thread, then makes it:
- Searchable across your whole workspace, so the next person who hits the same wall finds the answer.
- Commentable at the block level, so review happens on the exact step that matters.
- Forkable, so a teammate can run
/fork and continue from where your session left off, with an AI-distilled handoff prompt that carries the context forward.
- Scoped, with private, workspace, and public visibility instead of a single public link.
You can also star the prompts worth keeping, so your best prompts become a reusable library instead of scrolling history.
When to use which
Use a ShareGPT-style link when you want to show one chatbot conversation to someone, it is not sensitive, and you do not need it to be searchable or reusable later.
Use Lore when the conversation is a coding-agent session, when more than one person needs to find or build on it, or when the reasoning behind your code is the thing you want to keep.
Frequently asked questions
Is Lore a ShareGPT alternative?
Only loosely. They both produce a shareable link to an AI conversation, but ShareGPT shares chatbot transcripts as static snapshots, while Lore captures and shares coding-agent sessions as structured, searchable, forkable artifacts for a team. If you are sharing Claude Code or Codex sessions, Lore is the closer fit.
Can Lore share a ChatGPT conversation?
Lore is built for coding-agent sessions from Claude Code, Codex, Cursor, and Cowork, not for plain ChatGPT chats. For a one-off ChatGPT conversation, ChatGPT's native share link is the simpler tool.
Are Lore links public like ShareGPT links?
Not by default. Lore threads support private, workspace, and public visibility. ShareGPT-style links are viewable by anyone who has the URL. On Lore's free tier, shared links expire after 3 days; the Team plan keeps them permanent.
What does Lore capture that a ChatGPT share link does not?
The full structure of a coding session: tool calls, files read, code diffs, and the reasoning between turns, all parsed and rendered. It also adds team-wide search, block-level comments, forking, and visibility controls that a static chat snapshot does not have.
The short version
ShareGPT answers "how do I show this one chat to someone?" Lore answers "how does my team find, reuse, and build on the AI sessions behind our code?" If you are sharing a chatbot conversation, a static link is fine. If you are sharing the coding sessions your team runs to build software, that is what Lore is built for.