The Ollama Chat plugin enables users to interact with a locally hosted language model (LLM) to ask questions directly related to their Obsidian notes. It indexes files during startup and updates the index upon file modifications, ensuring up-to-date responses. Users can open a modal via shortcuts or commands to query the LLM. The plugin supports running a local model and plans to introduce features like real-time text streaming and predefined commands for common queries such as summarizing notes or topics.

The Cannoli plugin enables users to build and execute no-code LLM (Large Language Model) scripts directly within Obsidian using the Canvas editor. By creating nodes and arrows with specific logic and functionality, users can define workflows, variables, and branching choices to automate tasks and interact with their vault. Cannolis can also be used to create custom chatbots with dynamic logic and formatting. Supporting multiple LLM providers such as OpenAI and Anthropic, the plugin allows flexibility in AI integration. It also offers local LLM usage through Ollama. With features like HTTP requests and audio-triggered scripts, Cannoli provides a versatile tool for enhancing workflows in Obsidian.

The Caret plugin integrates local-first LLM capabilities directly into Obsidian, enabling users to utilize AI-powered features without relying on external services. Caret supports AI-enhanced conversations through chat logs stored as markdown files and integrates with the Obsidian Canvas for non-linear, visual workflows. It is compatible with various local and remote LLMs, including OpenAI, Anthropic, and custom models. All generated data remains within the user's vault, adhering to strict privacy principles. The plugin's design focuses on preserving user autonomy and enhancing productivity while offering flexibility through customizable AI integration.

The AI Editor plugin for Obsidian brings advanced AI functionality to your note-taking and research workflows. It enables users to generate text summaries, refine grammar, and receive AI-powered writing suggestions directly within the app. Highly customizable, the plugin allows you to create and configure commands tailored to your specific needs, seamlessly integrating AI into your workflow. A built-in text summarization feature offers a glimpse into its capabilities, helping users process long documents efficiently. With simple setup steps, this tool enhances productivity and creativity, making complex tasks like summarization or idea generation effortless through the power of AI.

The Local LLM Helper plugin integrates local Large Language Models (LLMs) with Obsidian, offering a suite of tools for text processing, interactive AI chat, and personalized responses. Users can perform tasks such as summarizing text, generating action items, adjusting tone, and chatting directly with indexed notes. The plugin supports privacy by working with offline LLM servers like Ollama and LM Studio, and it allows full customization of prompts and response formats. Additionally, the plugin includes a user-friendly chat interface and integration with ribbon and status bar for quick access. It offers seamless interaction with LLMs for both productivity tasks and dynamic conversations within notes.

The LLM Tagger plugin enhances note organization in Obsidian by using locally running large language models via Ollama to automatically generate relevant tags. It processes notes efficiently, avoiding re-tagging unchanged files, and can create brief summaries alongside the generated tags. Users can customize their tag list for more focused categorization and select different LLM models for processing. The plugin also supports an auto-tagging feature that applies tags to newly created or modified notes. With local processing, it ensures privacy and speed while maintaining a seamless tagging workflow.

The LLM workspace plugin for Obsidian is a powerful tool that allows users to integrate Large Language Models (LLMs) into their note-taking workflow. This plugin focuses on manually created source sets, which provides a more accurate and flexible way of integrating AI into Obsidian compared to traditional RAG setups. With LLM Workspace, users can create custom workspaces for each project or topic, and engage in conversations with the model while having granular control over prompts and responses. The plugin also supports multiple models and providers, making it easy to experiment with different AI models and fine-tune their performance. Overall, LLM Workspace is an innovative tool that enables users to tap into the power of AI for more efficient and effective note-taking and knowledge management.

The Simple Prompt plugin allows users to generate or rewrite content in Obsidian using Large Language Models (LLMs) like OpenAI and Ollama. It offers an easy-to-use interface for generating content at the cursor, rewriting selected text, or replacing the entire document based on a user-provided prompt. Additionally, users can generate content from YouTube videos using captions, and customize prompt templates for personalized content creation. The plugin supports features like recent prompts, the option to choose from different LLM providers, and streaming responses for generation. Future features include expanded LLM support, image generation, vault document indexing, and enhanced encryption for API keys.

The LLM Summary plugin is designed to simplify note-taking and concept defining for users of Obsidian. With this plugin, you can automatically generate summaries of PDF files using OpenAI's GPT models, saving you time and effort. You can also define new concepts from selected text with just a few clicks, creating new notes in your vault. The plugin is particularly well-suited for academic paper readings, as it can help you quickly summarize key points and identify important concepts.

The PromptCrafter plugin is a great tool for Obsidian users who frequently work with language models and want to streamline prompt creation. It lets users create modular, reusable prompts directly within their Obsidian notes, using placeholders to pull in data from other parts of their vault. This is particularly useful for complex projects where different aspects, like project descriptions or brainstorming ideas, need to be incorporated into various prompts without redundancy. With PromptCrafter, you can set up customizable prompts by using simple `pc` code blocks and mustache-style placeholders, making it easy to build and reuse high-quality prompts efficiently. This plugin is ideal for anyone looking to manage LLM workflows in a structured, organized way right from their knowledge base.

The LLM Test Generator plugin helps users reinforce their understanding of notes in Obsidian by creating AI-generated quizzes tailored to their content. It leverages a range of large language models—such as GPT-4, Claude, Gemini, Mistral, and DeepSeek—to produce customized test questions based on selected notes. Users can choose the difficulty level, receive instant feedback, and track their performance through a centralized dashboard. The plugin supports multiple question formats, from short-answer to extended responses, and includes bulk grading features for efficiency.