Turn your Obsidian vault into a local-first AI workspace.
Chat with your notes and use Ollama-powered agent tools to search, edit, and interact with your vault while keeping everything private, local, and free.
Porygon is a simple and practical workspace for thinking, learning, and daily work. The goal is to build tools that are minimalistic, lightweight, and genuinely useful. AI is part of the experience, but not the center of it. It should help when needed, stay out of the way when not, and feel naturally integrated into the workflow instead of becoming the workflow itself.
Porygon includes built-in tools like list, search, semantic search, view, edit, rename, create folder, copy, active file, backlinks, load skill, save memory, and ask user so the assistant can understand, navigate, organize, modify, and clarify things in your vault directly during a conversation.
Porygon can save short, concrete observations about you and your work as long-term memories. Each entry has an importance level (high, medium, low) and a timestamp, and the most important and recent memories are sent with every conversation so the assistant remembers what matters. You can review, edit, or delete memories at any time from the Memories field under the Personalization section in settings.
Skills are reusable instructions that teach Porygon how to handle specific tasks, such as summarizing notes in a consistent format. Porygon stores them as Markdown files in the skills/ subfolder of its internal folder (porygon/skills/ by default, configurable under Settings → Porygon → Advanced) and automatically makes them available to the assistant. To add a new skill, create a .md file in that folder with a short YAML header containing name and description, then write the instructions below it.
Keep the interface simple and concise, or enable advanced features like model thinking and tool inspection to better understand how the assistant works. You can also customize and fine-tune the agent instructions to shape the assistant around your own workflow.
Porygon requires Ollama to be installed and running locally. You can download it from Ollama and install a model with:
ollama pull gemma4:12b # chat model
ollama pull qwen3-embedding:8b # embeddings model (search)
The first time you open Porygon, the onboarding flow will guide you through configuring your Ollama host, chat model, and embeddings model.
Porygon stores semantic index data locally in your browser's IndexedDB storage. You can exclude vault-relative files or folders from indexing in the Porygon Assistant settings page.
Porygon does not add telemetry. When you send a message, the following data may be sent to your configured Ollama host:
If your Ollama host is local, this stays on your machine. If you configure a remote Ollama host, data is sent to that host.