Obsidian plugins with #chat#

The ChatGPT MD plugin integrates ChatGPT functionality directly into Obsidian, allowing users to create dynamic, interactive chats within markdown notes. It supports chat creation, streaming responses, and the use of templates for reusable chat scenarios. The plugin enables the use of frontmatter to customize ChatGPT API parameters and supports multiple roles like system, assistant, and user. Users can generate chats from highlighted text, add comment blocks, and infer chat titles from messages. Custom API endpoints are also supported, and responses can be streamed in real-time. Additional features include language selection for title inference, custom heading levels for roles, and options to stop ongoing streams. The plugin maintains minimal boilerplate for ease of use and integrates seamlessly with Obsidian's markdown rendering system, supporting lists, code blocks, and more.

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.

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 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 Reason plugin enhances note-taking in Obsidian by enabling interactive chat-style interactions within Markdown, allowing users to retrieve and synthesize information directly in their notes. It offers a chat interface similar to Jupyter Notebooks, rendering relevant block embeds inline for easy navigation to the original source. The plugin provides flexible content retrieval powered by Dataview and extensible extraction methods, helping users organize and connect their thoughts efficiently.

The Chat Stream plugin allows you to converse with GPT AI directly within Obsidian, using canvas notes as context. With a simple key combination, you can generate new notes based on your current note and its ancestors, and even control which other notes are sent to the AI for further discussion. The AI's responses are easily distinguishable by their purple color and specific tag in the canvas data file. This plugin is perfect for those who want to harness the power of GPT AI within their Obsidian workflow.

The Ayanite plugin is a revolutionary AI chat interface for Obsidian, designed specifically for professionals who want to leverage artificial intelligence in their knowledge work. With Ayanite, users can access a powerful multi-tab chat application, save and reuse prompt snippets, clip text selections to summarize or explain with AI, and more. The plugin's intuitive features make it easy to integrate AI-powered workflows into daily tasks, and its customizable style and feel ensure a seamless experience. Ayanite also allows users to generate diagrams from concepts and create custom chat profiles or GPT's, making it an indispensable tool for knowledge workers.

The Chat Clips plugin enhances note-taking in Obsidian by enabling users to record chat-like interactions in an ordered markdown list while in editing view. When switching to reading view, the plugin transforms these lists into a structured, comment-style display, improving readability and organization. Users can group conversations using numbered pages and easily follow message threads.

The LLM docs plugin lets you interact with large language models directly within your markdown files, treating conversations as editable documents rather than separate chat windows. It integrates with the OpenAI API and is also compatible with self-hosted models like Ollama via an OpenAI-compatible interface. Prompts can include content from linked notes or embedded images, allowing for richer context. The plugin enhances usability with overlays like a 'complete' button and visual loading indicators, and clearly formatted user/assistant response headings make conversations easier to follow. Everything stays local in your vault, blending AI interaction naturally with your existing notes.

The Chat with Bard plugin integrates Google's Gemini AI directly into Obsidian, enabling users to create and manage AI-assisted conversations seamlessly. Users can generate new chats using a command or sidebar ribbon, with conversations saved locally in the vault as `.gemini` files for continued use. Chats are stored in a designated folder by default, preventing vault clutter. Responses are formatted in Markdown, and users can easily copy messages into notes while preserving the formatting. The plugin requires a Google Gemini API key, which can be obtained through Google AI Studio. It operates on Gemini's free tier but includes the option to enable billing for extended usage.

The Markpilot plugin brings AI-powered inline completions and a chat view to Obsidian. It integrates with models from OpenAI, OpenRouter, and local models like Ollama, offering context-aware suggestions based on Markdown content. The plugin features advanced prompting techniques and a sophisticated UI, allowing users to interact with the model seamlessly. It also provides a sidebar chat view inspired by GitHub Copilot, with a clear chat history and response options. Markpilot allows users to set usage limits, monitor API costs, and customize the completion behavior. With both inline completions and chat functionalities in one plugin, it offers a comprehensive solution for integrating AI into the Obsidian note-taking experience.

The AI Chat plugin for Obsidian allows you to engage in conversations with artificial intelligence about your notes and documents. With support for multiple APIs, including OpenAI, Anthropic, and Cohere, you can leverage the strengths of various AI models to gain new insights and perspectives on your work. The plugin features a range of useful tools, such as markdown support, API profiles, and pinning capabilities, making it easy to manage your conversations and keep track of multiple documents at once. With the AI Chat plugin, you can unlock new ways to collaborate with AI and streamline your workflow in Obsidian.

The Smart Chat plugin keeps AI conversations inside notes by storing provider threads in chat codeblocks and writing saved thread links back into the note. It supports ChatGPT, Claude, Gemini, Grok and other services, lets you start or resume a conversation in an embedded chat view, and tracks active or completed threads with fields such as chat-active and chat-done. Provider specific codeblocks are available for ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, Google AI Studio, Open WebUI and Kimi, while the generic smart-chat block covers all providers and API chat in Pro. The stored links can be surfaced through Dataview lists, and mobile access is limited to saved thread links because the full embedded web UI depends on desktop webview support.

The Large Language Models plugin brings chat based access to cloud and local language models into Obsidian through a sidebar, tab view and floating popup window. It supports hosted providers such as OpenAI, Anthropic, Google and Mistral, while local use can run through GPT4All or Ollama. Models can be switched from each chat surface, and the plugin includes commands to open the different interfaces or toggle the floating action button. It also adds a built in MCP server that can expose vault operations to compatible desktop clients with a local bearer token, confirmation prompts for write actions and localhost only binding. The plugin is aimed at keeping model interaction, local runtimes and vault level tool access inside the same workspace instead of relying on a separate companion bridge.

The Telegram Sidebar plugin embeds Telegram Web inside the sidebar, so chats stay beside your notes instead of in a separate window. It keeps the login session across restarts, lets you choose the Web K or Web A client, and can place the panel on either side of the workspace. You can set a default bot, user, channel or group to open on launch, then use commands to open the panel, reload it or jump straight to that chat. The plugin is desktop only because it depends on an Electron webview, and it stores only local plugin settings while Telegram handles messages and session data through its own web client.

The WhatsApp backup importer plugin allows users to import exported WhatsApp chat archives into their Obsidian vault. It extracts messages from `.zip` files, processes attachments such as images and videos, and organizes the content into a specified folder. Imported chats are converted into Markdown files, with embedded links to media files for seamless navigation. Users can customize the destination folder within their vault, ensuring better organization of imported conversations. This plugin provides a structured way to store and access WhatsApp chat history within Obsidian for reference or documentation.