lapis0x034k downloadsSmart, snappy, and multilingual AI assistant for your vault.
Agent-native AI assistant for Obsidian — chat, write, knowledge base, and orchestration, all in one place.
1.5.7: YOLO can now sense what you're reading—focus sync keeps the AI aware of your current file and position, with deep PDF support for vision reading, selection sync, and region screenshots.1.5.6: Built-in web search is here—Agents can now browse the internet directly, with multiple search providers and unified web scraping.1.5.5: Refreshed knowledge-base foundations with fully upgraded hybrid search and indexing—and smarter, more relevant results.1.5.4: Built for long chats and complex tasks: smarter context pruning and compression, multi-model branches, a virtualized chat timeline, and automatic compression to keep agents running smoothly.1.5.3: Native multi-window chat plus background Agents—automation that stays out of your way.1.5.2: The new memory system is now live, allowing YOLO to more naturally remember your preferences, habits, and long-term context across conversations.1.5.1: YOLO introduced an all-new Agent mode, turning AI from a chat assistant into something that can call tools, organize steps, and actively help get real work done.YOLO's Agent mode lets LLMs go beyond just "Q&A machines" — they can actually operate on your Vault.
| Tool Calling + MCP | Custom Skills |
|---|---|
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| Freely configure toolchains so Agents can read, write, edit, and organize your files directly | Encapsulate experience and SOPs into reusable skills, invoke with a single sentence — let the Agent work your way |
| Multi-Window Chat | Quick Ask |
|---|---|
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| Handle different tasks and contexts in parallel across multiple chat windows, making multitasking feel more natural | Trigger with a character (default @) to open an inline assistant for Q&A, editing, and continuation, making document editing seamless |
| Knowledge Base Q&A | Smart Space |
|---|---|
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| Turn your entire Vault into the AI's knowledge base, powered by RAG to answer with context from your notes instead of generic output | Summon anywhere to freely continue your creative flow with smooth content generation |
Beyond the core capabilities above, YOLO also provides:
| Feature | Description |
|---|---|
| 💬 Sidebar Chat | Seamless LLM conversation with context injection, preset prompts, Markdown smart parsing |
| 🧠 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 |
| 🧩 Experimental Features | Learning Mode, sub-Agents, explore personalized workflows |
@ in the editorSee Quick Start above.
main.js, manifest.json, styles.css<vault>/.obsidian/plugins/obsidian-yolo/[!WARNING] YOLO cannot coexist with Smart Composer. Please disable or uninstall Smart Composer before using YOLO.
Due to the capability gap between Obsidian mobile and desktop, YOLO cannot fully match the desktop feature set and overall experience on mobile in the short term. With limited personal maintenance bandwidth, I can currently only guarantee that YOLO remains usable on mobile, not that every feature will reach desktop-level parity.
If you use YOLO on mobile, you may still encounter unavailable features, inconsistent behavior, or incomplete adaptations for some workflows. Please keep that expectation in mind.
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.
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.