将 ChatGPT 无缝集成到 Obsidian。
Your AI writing companion, living inside Obsidian.
Chat with AI directly in your notes. Reference your other notes with [[wiki links]]. Keep everything in your vault—where it belongs.
Official Obsidian Guidelines (v3.3) — Cleaner theming, sentence-case UI, honest compatibility requirements, and a bundle that plays by Obsidian's official rules.
Provider Reliability (v3.2) — Updated provider integrations, safer tool calling, and more reliable model selection and streaming across cloud and local providers.
Agents (v3.1) — Create AI personas like a writing coach, code reviewer, or brainstorming partner. Apply them to any note instantly.
Tool Calling (v3.0) — Let AI search your vault, read your notes, and browse the web. You approve everything. Your data, your control.
Requirements: Obsidian 1.11.4 or newer (needed for secure key storage) and an API key from any supported provider — or a free, private local setup via Ollama/LM Studio.
Cmd+P → Type "ChatGPT MD: Chat"That's it. You're now chatting with AI in your notes.
Set a hotkey and thank me later: Settings → Hotkeys → Search "ChatGPT MD: Chat" → Press Cmd+J
Don't want API costs? Don't want your notes leaving your computer?
Ollama and LM Studio run AI locally on your machine. Completely free. Completely private.
# Install from ollama.ai, then:
ollama pull llama3.2 # Download a model
ollama list # See what you have
In your note:
---
model: [email protected]
---
model: lmstudio@your-modelWrite a question, get an answer. Simple.
user:: What makes a good daily note?
assistant:: Great daily notes are:
- **Specific** — "Had coffee with Sarah" not "Met a friend"
- **Actionable** — Include next steps or open questions
- **Connected** — Link to related ideas and people
This is where it gets magical. Use [[wiki links]] and AI reads those notes too:
user:: Based on my [[Meeting Notes]] and [[Project Ideas]],
what should I focus on this week?
AI reads your linked notes and gives you a contextual answer. No more copy-pasting context.
Make AI personas for different tasks:
# agents/WritingCoach.md
---
model: [email protected]
temperature: 0.8
---
You are a supportive writing coach. Help the user:
- Clarify their ideas with questions
- Suggest improvements without being harsh
- Celebrate their progress
Apply with "Choose Agent" command. Switch between agents instantly.
Enable in Settings → Tool Calling. Then:
user:: What have I written about machine learning?
AI: "I'd like to search your vault." You: Approve ✓ AI: "Found 5 notes. Here's what you've written..." You: Select what to share ✓
You're always in control. AI only sees what you approve.
Model prefix examples:
[email protected] (unprefixed OpenAI model IDs also work)anthropic@claude-sonnet-4-20250514[email protected]openrouter@openai/gpt-4.1-mini[email protected] or lmstudio@model-nameOpenAI search-preview models such as openai@gpt-4o-mini-search-preview are supported through OpenAI's chat-completions endpoint.
---
model: [email protected] # Which AI to use
temperature: 0.7 # Creativity (0-2)
max_tokens: 4096 # Response length
system_commands: # Give AI a role
- You are a helpful assistant
agent: WritingCoach # Apply an agent by name
---
Priority: Note settings beat Agent settings beat Global settings beat default chat frontmatter/provider defaults
Q: How do I actually use this?
A: Open any note. Write something. Press Cmd+P, type "chat", hit Enter. Watch AI respond in your note.
Q: Can I use my existing notes?
A: Yes! Just add a frontmatter block at the top with your settings, then use [[wiki links]] to reference other notes.
Q: Which local model should I use?
A: llama3.2 is great for general use. deepseek-r1:7b for reasoning. Try a few and see what works for you.
Q: Is my data private?
A: With OpenAI/Anthropic, your messages go to their servers. With Ollama/LM Studio, everything stays on your computer. Your choice.
Q: What's an "agent"?
A: A reusable AI persona. Like having different experts on call—writing coach for drafts, code reviewer for programming, researcher for learning.
With cloud providers (OpenAI, Anthropic, etc.):
With local AI (Ollama, LM Studio):
Credentials:
Always:
[[linked notes]] are sent to the selected providerSee SECURITY.md for vulnerability reporting and the full data model.
git clone https://github.com/bramses/chatgpt-md.git
cd chatgpt-md
npm install
npm run dev
Project structure:
src/
├── Commands/ # User actions
├── Services/ # AI providers, adapters, tools
├── Views/ # UI, modals
├── Utilities/ # Pure functions (tested)
└── core/ # Dependency injection
Contributions welcome! Fork → Branch → PR.
Want the latest features? Use BRAT:
bramses/chatgpt-md as beta pluginTest beta versions in a separate vault.
Bram Adams made this. He writes at bramadams.dev and builds Your Commonbase.
Deniz Okcu keeps it running. Say hi on Bluesky.
**Happy note-taking! **
Feature Request: Allow custom endpoints with auth and chat/completions API
Action required: your plugin release failed automated review
Can't configure Ollama (or LMStudio) model
Feature request: Add a "test" button in the settings for each model
Local LLM (ollama) login support
DeepSeek API compatibility issue - 'developer' role not supported
Linked notes are not sent anymore as context