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Export your Lovable chat history as Markdown, HTML, or JSON. Lovable Chat Exporter lets you save and download your complete Lovable.dev project chat history — something the platform doesn’t offer natively. Lovable renders its chat using a virtualized list, meaning only ~20 messages are in the DOM at any given time. Without a tool like this, older messages are simply inaccessible once you close the tab. This extension solves that. ─── HOW IT WORKS ─── An “Export” button is injected directly into Lovable’s top navigation bar. As you scroll through your conversation, every message that enters the screen is captured and stored locally in your browser. Each message is identified by its unique ID (data-message-id), so there are never any duplicates — even if you reload the page or scroll back over the same messages. Want the full history at once? Click “Capture full history” and the extension will automatically scroll to the top of the conversation, waiting for each batch of older messages to load before continuing. ─── EXPORT FORMATS ─── • Markdown (.md) — paste into Obsidian, Notion, or any Git repo. Code blocks and formatting are preserved. • HTML (.html) — a clean, self-contained page you can open offline in any browser. • JSON (.json) — structured raw data for scripting, archiving, or building on top of. ─── PRIVACY ─── All captured data is stored exclusively in your browser using chrome.storage.local. Nothing is sent to any server — not to us, not to Lovable, not anywhere. The extension activates only on lovable.dev and requests only the permissions it needs: storage and downloads. ─── FEATURES ─── ✔ One-click export to Markdown, HTML, or JSON ✔ Auto-scroll to capture complete chat history ✔ Deduplication by message ID — no repeated entries ✔ Persists between sessions per project thread ✔ Works alongside other Lovable extensions (e.g. Quick Transfer) ✔ 100% local — zero network requests ✔ Minimal permissions ─── USE CASES ─── Backup your build log before closing a project. Document AI-assisted development sessions for your team. Archive decision trails for future reference. Feed conversation history into other tools or LLMs. ─── OPEN SOURCE ─── The source code is available on GitHub. Contributions and bug reports are welcome.
Feb 20, 2026
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