This Logseq plugin integrates with Ollama, enabling users to leverage local large language models (LLMs) directly within their note-taking workflow. It provides AI-powered assistance for tasks like summarization, content generation, and task decomposition, targeting Logseq users who want to enhance productivity with local AI capabilities.

How It Works

The plugin exposes several commands within Logseq, allowing users to interact with Ollama models. Key features include prompting the AI with or without page/block context, summarizing content, creating flashcards, and dividing tasks. It supports context menu commands, slash commands, and toolbar buttons for seamless integration. Advanced configuration allows per-block model selection via block properties and custom context commands through a dedicated Logseq page.

Quick Start & Requirements

• Install: Logseq plugin installation.
• Prerequisites: Ollama must be set up and running locally.
• Configuration: Set Ollama host and model via plugin settings or the ollama-logseq-config page.

Highlighted Details

• Offers 6 distinct AI commands for various note-taking tasks.
• Supports context menu integration for block-level operations.
• Enables per-block model selection using ollama-generate-model property.
• Allows creation of custom context menu commands via ollama-logseq-config page.

Maintenance & Community

• Open to feature suggestions via issues.
• Author accepts donations.

Licensing & Compatibility

• License not specified in the README.
• Compatibility with Logseq and Ollama.

Limitations & Caveats

The README does not specify the license, which may impact commercial use or closed-source integration. The plugin's functionality is dependent on a correctly configured local Ollama instance.