Agent-native AI assistant for Obsidian — chat, write, knowledge base, and orchestration, all in one place.
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1.6- On-device local embedding models and multiple knowledge bases: index without any API key, split and manage knowledge bases independently, and let the Agent auto-pick the right one by name.
- CLI chat: on desktop, drive the Claude Code, Codex, Hermes, or Pi CLI you're already signed into from the same chat surface.
- The new Learning Mode: turn any topic and reference material into a personalized learning project with structured outlines, knowledge points, flashcards, and an interactive knowledge map, backed by FSRS spaced repetition and Anki
.apkgimport for sustainable long-term review.
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1.5: Introduces a new Agent runtime that turns AI from Q&A into active collaboration—with full tool calling, MCP, Skills, desktop Bash, subagents, and web search—plus smarter long-session context and memory, refreshed hybrid RAG, focus/PDF awareness, and multi-window chat with background Agents.
| A Complete Agent Experience | Use Codex / Claude Code Inside Obsidian | Turn Vault Knowledge into Lasting Mastery |
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| Go beyond answers. YOLO understands and works directly with your Vault, calls tools and MCP servers, and uses Skills to get real work done your way. On desktop, switch in one click to the Claude Code or Codex you are already signed in to and let them work directly in your Vault. | Turn topics and source material into a personal learning system, then use flashcards and FSRS-powered review to move from saved notes to lasting knowledge. |
Beyond the core capabilities above, YOLO also provides:
| Feature | Description |
|---|---|
| 🖥️ CLI Agent (Desktop) | Reuse the Claude Code / Codex you are already signed in to locally, and chat with the CLI agent right inside Obsidian |
| 🔌 External Agent Support | Connect MCP clients such as Hermes and OpenClaw to YOLO's Vault search, or delegate tasks to a configured YOLO Agent |
| ⚡ Quick Ask & Smart Space | Ask, edit, and continue writing without leaving the editor |
| 🔎 Vault RAG | Retrieve across your Vault for answers grounded in your own notes |
| 🪟 Multi-Window Chat | Run different tasks and contexts in parallel across independent chat windows |
| 🧠 Memory System | Lets YOLO remember preferences, habits, and long-term context for more consistent conversations |
| 🪡 Cursor Chat | One-click context addition, conversation at your fingertips |
| ⌨️ Tab Completion | Real-time AI-powered completion for smoother, more natural writing |
| 🎛️ Multi-Model Support | OpenAI, Claude, Gemini, DeepSeek and other mainstream models, freely switch |
| 🌍 i18n | Native multi-language support |
- Open Obsidian Settings → Community Plugins → Browse → Search "YOLO"
- Install and enable
- Configure your API key in plugin settings, or use your own ChatGPT OAuth / Gemini OAuth:
- Open the sidebar to start chatting — or try Quick Ask by typing
@in the editor
See Quick Start above.
- Go to Releases and download the latest
main.js,manifest.json,styles.css - Create folder:
<vault>/.obsidian/plugins/obsidian-yolo/ - Copy files to that folder, then enable the plugin in Obsidian Settings
Warning
YOLO cannot coexist with Smart Composer. Please disable or uninstall Smart Composer before using YOLO.
- Better and stronger Vault AI search
- Background Agent (long-running task automation)
- Multi-Agent orchestration (via subagents)
- Learning Mode — a dedicated study view
- Annotation Mode — real-time AI annotations and suggestions on notes
- Built-in assistant — a corner-pinned helper for config/agents, with auto-compaction and scheduled tasks
- Better AI whiteboard
- Voice input & meeting notes
Hit a bug, something confusing, or have an idea? Open an issue:
🐛 Report a bug · ✨ Request a feature
What helps:
- Bug reports with a clear reproduction (Obsidian version, OS, plugin version, what you did, what happened)
- "I tried X and got Y" reports — UX papercuts, confusing wording, broken docs, outdated translations
- Concrete feature ideas tied to a real use case ("when I do A, I want B because C")
Please search existing issues first to avoid duplicates.
All forms of contribution are welcome — bug reports, documentation improvements, feature enhancements.
Please open an issue first to discuss feasibility and implementation for major features.
See CONTRIBUTING.md for the full guide: what we welcome, AI-assisted PR policy, size guidelines, and dev setup.
Thanks to Smart Composer for the original work — without them, there would be no YOLO.
Special thanks to Kilo Code for their sponsorship. Kilo is an open-source AI coding assistant platform with 500+ AI models, helping developers build and iterate faster.
If you find YOLO valuable, consider supporting the project:
Development logs are regularly updated on the blog.