Obsidian and ChatGPT: Use Your Notes Without Losing Context

ChatGPT does not connect directly to an Obsidian vault. You can paste note content into a chat, upload a file, or use a community plugin that sends selected notes to the model. Each approach works for a session, but the project decisions and next steps you record in a chat stay there. Tools like fenbs keep that kind of context outside any single AI app, so the same record is available whether you are in ChatGPT today or a different assistant tomorrow.

This article covers the realistic options for using Obsidian notes with ChatGPT, the data boundaries you should understand for each, and why keeping project decisions in fenbs avoids the problem of context being locked inside one chat.

What ChatGPT can and cannot do with Obsidian notes

ChatGPT has no built-in connector to an Obsidian vault. It cannot browse your local files or pull notes automatically. What it can do is read content you bring to it: pasted text in the chat, uploaded markdown files, or note content a plugin sends on your behalf.

This is an important boundary. An assistant that reads a note you pasted has that note for the current session. It does not have your whole vault, and it does not update the vault when the session ends. Any useful conclusion from the session stays in the chat history unless you copy it somewhere.

Manual sharing: paste or upload a note

The simplest approach is to open the note you need, copy its content, and paste it into ChatGPT with a clear prompt. This works for focused tasks: summarize this research, check this draft, extract the action items. Keep the pasted section short and specific rather than dumping an entire vault.

File upload works similarly. ChatGPT can read a markdown file you attach. The assistant can then answer questions about it or rewrite sections. This is useful for longer notes where a paste would flood the chat, but the content still leaves your device and enters the session as a temporary context.

Plugin-based workflows

Several community plugins attempt to integrate Obsidian with AI models, some sending selected notes or queries to an API endpoint automatically. Check the plugin's documentation carefully before installing: understand which notes it sends, whether it uses your own API key, and whether content is stored by the service. A plugin that silently sends your full vault to a third party is a risk you should not accept without reading the details.

• Check which notes the plugin sends: the active note only, or a broader selection.
• Confirm whether the plugin uses your own API key or routes through its own server.
• Review the privacy policy for any service a plugin connects to.
• Test with a non-sensitive note before using the plugin on private material.

The context problem: what gets lost between sessions

The main issue with using Obsidian and ChatGPT together is that useful conclusions stay in the chat. Say a session produces a clear decision about how a project should proceed. That decision is in the chat history. If you start a new chat, use a different model, or a colleague takes over, they do not have it.

One answer is to copy conclusions back into a vault note. Another is to keep them in fenbs where any connected assistant can read them. The vault approach works well for reference notes; fenbs works better for active decisions and project state because it is structured and readable by a fresh session without you doing the copy-paste work. See what an AI brain is for more on this difference.

How to do this with fenbs

Use vault notes for source content and ChatGPT for tasks in each session, and keep the outputs that matter in fenbs.

1. Create a free account and add a project for the work your Obsidian notes support. Write a short description of the goal.
2. Record key decisions in fenbs Decisions and rules as you reach them in any ChatGPT session. Link each to the project task it informs.
3. At the end of a ChatGPT session, note what changed and what is next in the relevant fenbs task before closing the chat.
4. Connect ChatGPT to fenbs via Integrations and ask it to read the project context before starting each session.
5. Before switching to a different AI app, confirm the fenbs record is current so the next assistant starts from the same place.

When switching to a different AI app

If you use ChatGPT for some tasks and another assistant such as Claude for others, the context gap between them is real. Notes pasted into one chat are not available in another. A decision made in one session is invisible to the next unless you move it somewhere both can see.

Keeping decisions and project state in fenbs is the practical answer. Both ChatGPT and other connected assistants can read the same record. fenbs does not import your ChatGPT chat history, but it does give you a structured place to move the conclusions that matter. For a broader look at moving between models, see AI employees.