by infiolab · MCP Server · ★ 646
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Infio-Copilot Infio-Copilot is a Cursor-inspired AI assistant for Obsidian that offers smart autocomplete and interactive chat with your selected notes English | 中文 ✨ What's New 0.7.2 We're excited to announce a major update packed with new features to streamline your workflow and supercharge your knowledge management within Obsidian. 🚀 Out-of-the-Box Embedding Model To help you get started faster, we now include a default local embedding model (). No more manual setup is required to use powerful semantic features! 🗂️ Workspaces Organize your projects, research, and personal notes with the new Workspaces feature. Keep your context clean and switch between different setups seamlessly. 💡 Insights Go beyond simple notes with our new Insights feature. Synthesize information, discover connections, and gain a deeper understanding of your knowledge base. 🔍 Advanced Multi-Dimensional Queries Converse with your notes! You can now perform complex queries based on various dimensions like time, tasks, and other metadata. Finding the exact piece of information has never been easier.
| Stars | 646 |
| Forks | 60 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 43.25/100 |
| Open Issues | 71 |
| Last Updated | 2025-09-26 |
| Created | 2025-01-05 |
| Platforms | mcp, node |
| Est. Tokens | ~8749k |
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infio-copilot is A Cursor-inspired AI assistant for Obsidian that offers smart autocomplete and interactive chat with your selected notes. It is categorized as a MCP Server with 646 GitHub stars.
infio-copilot is primarily written in TypeScript. It covers topics such as agent, autocomplete, cursor.
You can find installation instructions and usage details in the infio-copilot GitHub repository at github.com/infiolab/infio-copilot. The project has 646 stars and 60 forks, indicating an active community.
infio-copilot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to infio-copilot on Agent Skills Hub include octocode-mcp, agnix, dbhub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.