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Copilot for Obsidian

The most-installed Obsidian AI plugin — cited vault search, projects, composer diffs, and any model you like

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freemiumDR 29Free tier is BYOK with no sign-up or license key, covering all free and open-source features, image support on vision models, a local data store for Vault QA, and Markdown-only context — but no AI agents or tool use, and community support only. Plus is $14.99/month, or $11.67/month billed annually at $139.99/year, adding a built-in copilot-plus-flash model, smarter multilingual vault search, a web-searching agent with long-term memory, YouTube and X ingestion, per-project context, 50+ file types including PDFs and EPUBs, and a private Discord. A Self-Host Supporter tier is $349.99 for lifetime self-host access plus two years of Plus.View full pricing →

About Copilot for Obsidian

Copilot for Obsidian is an AI agent that lives inside Obsidian rather than beside it, and it is the most-installed AI plugin in that ecosystem with 1.6M downloads and 100,000+ users. Its design principle is Obsidian-native: Quick Ask floats at your cursor, commands run from the right-click menu and the command palette, and every artifact it produces — persistent memory across conversations, chat history, system prompts, and custom commands — is a plain .md file in your vault that you can read, search, sync, or move, rather than a record in a database you cannot see. Context can be almost anything: notes, folders, highlighted text, PDFs, images, and on-demand fetching of URLs, YouTube transcripts, and tweets. Search grounds every answer with inline citations from your notes and live web sources; lexical search works with no setup and semantic indexing can be added for deeper recall across thousands of notes. Projects bring a NotebookLM-style isolated workspace to Obsidian, each with its own model, system prompt, and chat history, supporting 50+ file types including PDFs, images, and Office documents. Composer rewrites or expands notes and Obsidian Canvas with a diff you inspect before accepting, and Relevance surfaces related notes you had forgotten, linkable by drag-and-drop. It is model-agnostic — OpenAI, Anthropic, Google, LM Studio, Ollama, or any OpenAI-compatible endpoint — with zero ecosystem lock-in, and self-hosted or local models keep the entire stack private. Version 4 introduces an agent mode.

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Key Features

✓Quick Ask at the cursor, plus right-click and command-palette commands
✓Cited answers from your vault and live web sources
✓Projects with isolated model, system prompt, and history per workspace
✓Composer edits notes and Canvas with a diff before applying
✓Relevance surfaces forgotten related notes with drag-and-drop linking
✓Context from notes, folders, PDFs, images, URLs, YouTube, and tweets
✓Memory, history, prompts, and commands stored as plain .md files
✓Works with OpenAI, Anthropic, Google, LM Studio, Ollama, or any OpenAI-compatible model

Copilot for Obsidian Pros & Cons

✅ Pros

  • +Everything it creates is a Markdown file you own
  • +Genuine model agnosticism including fully local stacks
  • +Inline citations make answers checkable against your own notes
  • +A usable free BYOK tier, not a crippled trial

⚠️ Cons

  • −Requires Obsidian — no value outside that ecosystem
  • −Agents and tool use are gated behind the paid tier
  • −Semantic indexing over a large vault needs setup and an embedding model

Who Is Copilot for Obsidian Best For?

👤Obsidian users with large vaults they cannot search from memory
👤Researchers and writers who need cited answers from their own notes
👤Privacy-focused knowledge workers running local models

Tags

obsidiansecond brainragnote takinglocal llmcitationsplugin
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