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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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