Nash Is Now Open Source; Meet Your New AI Workspace

Nash, an AI workspace developed by Backboard-io, is now open source. The release integrates image generation, document creation, and MCP support, including Google MCP, into a single connected experience. The project is available on GitHub for anyone to use, fork, or contribute to.

Big news: Nash is now open source. You can find the repo here 👉 github.com/Backboard-io/nash https://github.com/Backboard-io/nash Nash started as an internal tool to make AI actually usable day-to-day — not a chat window bolted onto a model, but a real workspace. As of this release, it's open for anyone to use, fork, self-host, contribute to, or build on top of. Alongside open-sourcing the project, we're also shipping a major release that pulls Nash's features into a single, connected experience. Here's what's new. Image generation is now integrated end-to-end inside Nash. Go from a rough idea → a first draft → iterations → a finished image without ever leaving the conversation. No context switching, no copying prompts between tools, no losing your thread. Create, iterate, and keep working from the same experience. Whether you're turning an idea into a draft or generating a document as part of a larger workflow, Nash can now carry that process through from request to finished output. Ask for a PDF, a spec doc, a Word file, a code file — and Nash treats it as a first-class output rather than a side effect of chat. This release adds support for MCP Model Context Protocol , including Google MCP , expanding what Nash can access and work with as part of your workflows. Instead of keeping your AI isolated from the rest of your work, MCP gives Nash a way to connect with the systems around it — the tools, data, and services you already use every day. If you've been waiting for an assistant that actually plugs into your stack instead of living beside it, this is the update for you. And since Nash is open source, you can wire up your own MCP servers, extend the integrations, or contribute new ones back to the project. Ever generated the perfect image and then lost it three conversations later? Same. Nash now has a Library where your generated images are stored automatically, giving you one place to browse and access previous creations directly. Nothing to configure — it just works. This release is about making Nash feel less like a collection of AI features and more like one connected workspace: And now, all of it is open source. You can read the code, self-host it, extend it, or ship a fork of your own. We'd love your help shaping where Nash goes next: Ask for something. Create it. Connect the tools you already use. Come back to your work later. Say hello to your new AI workspace. 👋