OllamAssist: Ollama Integration for Jetbrains IDEs (github.com)

OllamAssist is a new JetBrains IDE plugin that embeds Ollama-powered conversational AI directly into your development environment. It offers in-IDE chat with Ollama models, retrieval-augmented context awareness (RAG) that uses your workspace to produce tailored suggestions, an experimental smart autocomplete, and the ability to generate context-aware commit messages from code changes. Crucially, OllamAssist supports an offline mode — after you download the model and data locally you can run the assistant without network access, preserving privacy and lowering latency. For AI/ML practitioners this matters because it brings local, context-rich model assistance into the edit-compile-debug loop: RAG reduces the need for unwieldy prompt engineering by feeding workspace context to the model, offline operation enables secure or regulated environments, and local models like llama3.1 avoid sending proprietary code to external APIs. To get started, install Ollama and run a model (example: ollama run llama3.1), then install “OllamAssist” from the JetBrains Marketplace and select your Ollama model in the plugin settings. Expect productivity gains in debugging, code comprehension, and commit hygiene, while noting the autocomplete is still experimental and model quality depends on the local model and how much workspace context you provide.