Obsidian plugins with #workflow-automation#

The SystemSculpt AI plugin brings an agent workspace into notes with chat over files, images and built in vault tools. It streams reasoning, citations, tool activity and approval steps instead of hiding them. Conversations can include mixed attachments, and the plugin can find related notes through a portable semantic index. It also handles audio capture, imported audio and YouTube processing, then turns them into Markdown or SRT transcripts with structured summaries. Studio adds visual workflows for text, images, documents, media and vault actions. The same setup runs on desktop and mobile, while local CLI, terminal, dataset adapter and FFmpeg nodes stay desktop only. AI requests go through the SystemSculpt API, and vault mutations can pause for approval or run with full access.

The Gemini Helper plugin adds a chat interface backed by Google Gemini, along with vault aware tools for reading notes, creating files, proposing edits and searching content. It supports file attachments, slash commands, @ references and model controls for vault access, web search and MCP servers. Beyond chat, it includes a visual workflow builder with node based automation, AI assisted workflow generation, event triggers and execution history. The plugin also includes RAG sync for vault search, OKF knowledge sources, agent skills, external skill packages and plugin based extensions. It tracks token usage, keeps edit history with diff restore, offers optional encryption for chat history and workflow logs and can hand Gemini models and actions to Dashboard Hub and Discussion Hub.

The Local LLM Hub plugin adds a local first AI workspace with chat, workflow automation, RAG search and MCP backed tool use, all routed through locally hosted models or OpenAI compatible endpoints. It can generate or modify workflows and SKILL.md based agent skills from plain language, execute them through a visual node editor, and keep execution history for debugging and retry flows. The chat interface supports attachments, vault tool calls, local MCP servers, reusable skills and semantic search over indexed notes and PDFs. It also integrates with Dashboard Hub and Discussion Hub, tracks AI made edits and can hide encrypted files from chat tools while still allowing workflow access with a password prompt. To use it fully you need a compatible LLM server and an embedding model for RAG.

The Custom Commands plugin lets users define personalized commands to speed up common workflows like opening specific notes, creating templated files, inserting dynamic text snippets, or chaining multiple actions together. Each command type-Open, Create, Insert, and Sequence-can be customized with placeholders like date and time, and even configured to open notes in a new tab or window. This is particularly useful for recurring tasks such as journaling, note-taking for meetings, or setting up a morning routine. By centralizing these repetitive actions into named commands accessible from the command palette, the plugin helps users save time and maintain consistency in their workflows.

The LLM Hub plugin brings several AI workflows into one place, letting you chat with different providers, switch between API, local and CLI backed models, and use vault aware tools with configurable limits. It includes prompt based slash commands, reusable agent skills, a workflow builder, RAG search over local notes, optional MCP server connections and a Discord bot bridge for remote conversations. The plugin also adds edit history, encrypted chat and workflow logs, and controls for safer file changes. Its scope is broad: note assistance, automation, external tool calls and model orchestration all sit in the same interface.

The Mesh AI plugin brings powerful AI-driven text processing capabilities to Obsidian by integrating with multiple AI platforms like OpenAI, Microsoft, and Google. It allows users to apply various processing patterns to active notes, clipboard content, or search results, with options to use sequential or stitch modes. The plugin also features YouTube link detection to fetch and process transcripts automatically. Users can create custom workflows and integrate their own patterns, while also managing AI services like Grocq and Ollama. With the ability to work seamlessly with major AI services, the plugin enhances productivity within Obsidian by automating text-based tasks.