YOLO

by Lapis0x0
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4
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Score: 60/100

Description

The YOLO plugin (You Orchestrate, LLM Operates) brings comprehensive AI capabilities to your workflow through multiple interaction modes. Chat with AI models in the sidebar while treating your entire vault as context. Smart Space lets you generate content anywhere in your notes. Quick Ask provides inline assistance with three modes: conversational queries, preview-based edits and direct text modifications. Tab completion offers real-time AI suggestions as you write. The plugin supports multiple providers including OpenAI, Claude, Gemini, DeepSeek and Groq.

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Stats

1119
stars
46,109
downloads
75
forks
138
days
0
days
0
days
119
total PRs
4
open PRs
32
closed PRs
83
merged PRs
239
total issues
17
open issues
222
closed issues
128
commits

RequirementsExperimental

  • API key from supported AI provider (OpenAI, Anthropic, Google Gemini, or Groq)

Latest Version

8 hours ago

Changelog

1.5.11.1 Context & Selection Fixes 🛠️

🔧 Changes

  • Skills loading: Removed the redundant load_skill tool; skill paths are now exposed directly in <available_skills> so models can read full skill content via fs_read.

🐛 Bug Fixes

  • URL mention truncation: Prompt building now uses the full mentionName instead of UI-truncated display text, so pasted URLs reach the model intact.
  • Selection highlight cleanup (#400): Clearing synced selection mentions from the sidebar input now immediately removes lingering editor highlights.
  • Double selection overlay (#400): Fixed layered drawing between "preserve selection highlight" and Obsidian's native selection.
  • SubAgent approval flow (#401): Pending sub-agent dispatches no longer stall; approval prompts appear correctly and proceed to the sub-agent task card after approval.

1.5.11.1 上下文与选区修复 🛠️

🔧 调整

  • 技能加载:移除冗余的「加载技能」工具;<available_skills> 现直接暴露技能 path,模型可通过 fs_read 读取技能全文。

🐛 Bug 修复

  • URL mention 截断:prompt 构建现使用 mention 的完整 mentionName,不再误用 UI 展示用的省略文本,粘贴的 URL 可完整送达模型。
  • 选区高亮残留(#400):侧边栏同步选区 mention 清除后,编辑器中的持久化高亮会立即清除。
  • 选区双层叠绘(#400):修复「保留选区块高亮」与 Obsidian 原生选区双层叠绘的问题。
  • 子 Agent 审批流程(#401):修复子 Agent 派发需要审批时会卡住的问题;待审批调用现正常显示审批操作,批准后再进入子 Agent 任务卡。

README file from

Github

What's New

  • 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.

Highlights

🤖 Agent Mode

YOLO's Agent mode lets LLMs go beyond just "Q&A machines" — they can actually operate on your Vault.

Tool Calling + MCP Custom Skills
Agent Tools Agent Skills
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
Chat Window Quick Ask
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

Knowledge Base Q&A Smart Space
RAG Vault Smart Space
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

Features

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

Quick Start

  1. Open Obsidian Settings → Community Plugins → Browse → Search "YOLO"
  2. Install and enable
  3. Configure your API key in plugin settings, or use your own ChatGPT OAuth / Gemini OAuth:
  4. Open the sidebar to start chatting — or try Quick Ask by typing @ in the editor

Installation

See Quick Start above.

Manual Installation

  1. Go to Releases and download the latest main.js, manifest.json, styles.css
  2. Create folder: <vault>/.obsidian/plugins/obsidian-yolo/
  3. 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.

Mobile Support Note

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.

Roadmap

  • Better and stronger Vault AI search
  • Background Agent (long-running task automation)
  • Cron scheduled tasks
  • Multi-Agent orchestration
  • Learning Mode
  • Better AI whiteboard

Contributing

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.

Acknowledgments

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.

Support

If you find YOLO valuable, consider supporting the project:

Development logs are regularly updated on the blog.

License

MIT License

Star History

Star History Chart

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