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chatgpt-md

> 编程语言
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将 ChatGPT 无缝集成到 Obsidian。

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工具介绍

将 ChatGPT 无缝集成到 Obsidian。

ChatGPT MD

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.


✨ What's New

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.


Get Started in 30 Seconds

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.

  1. Install — Settings → Community Plugins → Browse → Search "ChatGPT MD"
  2. Add API key — Settings → ChatGPT MD → Paste your key (OpenAI, Anthropic, or OpenRouter)
  3. Chat — Press 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


Free & Private AI

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.

Ollama (Recommended)

# Install from ollama.ai, then:
ollama pull llama3.2    # Download a model
ollama list               # See what you have

In your note:

---
model: [email protected]
---

LM Studio

  1. Download from lmstudio.ai
  2. Load a model in the app
  3. Start the Local Server
  4. Use model: lmstudio@your-model

What You Can Do

Chat About Anything

Write 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

Reference Your Other Notes

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.

Create AI Agents

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.

Let AI Search Your Vault

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.


AI Providers

Provider Why Use It Cost OpenAI Reliable, GPT-4 Pay per use Anthropic Claude, great for long docs Pay per use Gemini Google's models Pay per use OpenRouter Access to ALL models Pay per use Z.AI GLM models Pay per use Ollama Local, private Free LM Studio Local, private Free

Model prefix examples:

  • OpenAI: [email protected] (unprefixed OpenAI model IDs also work)
  • Anthropic: anthropic@claude-sonnet-4-20250514
  • Gemini: [email protected]
  • OpenRouter: openrouter@openai/gpt-4.1-mini
  • Local: [email protected] or lmstudio@model-name

OpenAI search-preview models such as openai@gpt-4o-mini-search-preview are supported through OpenAI's chat-completions endpoint.


⚙️ Commands

Command What It Does Chat The main event. Send message, get AI response Select Model Switch between models/providers Choose Agent Apply an AI persona to current note Create Agent Make a new agent (manual or AI-generated) Infer Title Auto-generate title from conversation Clear Chat Start fresh, keep settings Stop Streaming Cancel a long response

⚙️ Settings

In Your Notes (Frontmatter)

---
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
---

Global Defaults (Settings → ChatGPT MD)

  • API Keys — One secure Obsidian credential per cloud provider (with legacy text fields on older Obsidian versions)
  • Default Model — Which AI to use by default
  • Folders — Where to save chats, templates, agents
  • Stream Mode — See responses appear word by word

Priority: Note settings beat Agent settings beat Global settings beat default chat frontmatter/provider defaults


❓ Common Questions

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.


Privacy

With cloud providers (OpenAI, Anthropic, etc.):

  • Your messages are sent to their servers
  • They may use messages to improve services (check their policies)

With local AI (Ollama, LM Studio):

  • Everything stays on your computer
  • No internet required
  • Completely private

Credentials:

  • When both Obsidian SecretStorage and its native secret control are available, provider and web-search keys are stored as vault-local Obsidian credentials; plugin data contains only opaque references.
  • Existing plaintext keys migrate automatically on plugin load. Failed migrations retain a usable plaintext key and retry on the next load or settings-tab opening.
  • If a valid secure credential and plaintext copy coexist, settings explains the risk and offers an explicit Delete insecure copy action. The copy is retained if saving fails.
  • Replacing or clearing a selection removes only this plugin's reference. Old credentials remain available for management in Obsidian.
  • Older or partially capable Obsidian versions keep the legacy plaintext controls and behavior. After migrating and then downgrading, re-enter keys because secure references are never sent as credentials.

Always:

  • Chat messages and automatically expanded [[linked notes]] are sent to the selected provider
  • AI tools require approval before execution, and vault/web search results must be selected before sharing
  • Custom web-search endpoints receive your query and any configured bearer credential
  • No tracking from this plugin

See SECURITY.md for vulnerability reporting and the full data model.


️ For Developers

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.


Beta Testing

Want the latest features? Use BRAT:

  1. Install BRAT plugin
  2. Add bramses/chatgpt-md as beta plugin
  3. Select "latest version"

Test beta versions in a separate vault.


About

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! **

GitHub Issues· 31 开放

在 GitHub 查看全部
  • #217

    Feature Request: Allow custom endpoints with auth and chat/completions API

    更新于 2026年9月16日
  • #214

    Action required: your plugin release failed automated review

    更新于 2026年8月27日
  • #178

    Can't configure Ollama (or LMStudio) model

    更新于 2026年6月4日
  • #201

    Feature request: Add a "test" button in the settings for each model

    更新于 2026年3月23日
  • #170

    Local LLM (ollama) login support

    更新于 2026年1月16日
  • #189

    DeepSeek API compatibility issue - 'developer' role not supported

    更新于 2025年12月7日
  • #171

    Linked notes are not sent anymore as context

    更新于 2025年11月2日

核心特点

  • •Specific — "Had coffee with Sarah" not "Met a friend"
  • •Actionable — Include next steps or open questions
  • •Connected — Link to related ideas and people
  • •Clarify their ideas with questions
  • •Suggest improvements without being harsh
  • •Celebrate their progress
  • •OpenAI: [email protected] (unprefixed OpenAI model IDs also work)
  • •Anthropic: anthropic@claude-sonnet-4-20250514
  • •Gemini: [email protected]
  • •OpenRouter: openrouter@openai/gpt-4.1-mini

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发布日期2026年8月1日
最后更新2026年9月17日
分类编程语言
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