AI workspace for agents that know your work and ask first
Rebel is a desktop AI workspace for agentic work. It connects your memory, meetings, files, actions, automations, and tools so AI agents can help with real work — while keeping sensitive actions behind approval checks. Built Fair Source, with portable workflows and model choice.
Hey Product Hunt, I’m Melissanthi, Senior Product Engineer at Mindstone.
We’re launching Rebel as a Fair Source AI desktop app for agentic work.
The reason we’re doing this now is simple: AI work shouldn’t be trapped inside one closed platform or one model provider. Rebel is built as a desktop workspace that people can download, run locally, inspect, customise, and connect to their own tools through MCP.
Fair Source means the code is available, but with practical restrictions that let us keep building the product sustainably. Small teams and individuals can use and adapt Rebel freely, while larger organisations need a commercial licence.
This release is also part of a broader push toward more portable AI workflows: model choice, local-first files, MCP connectors, and workflows that teams can actually understand and adapt.
We’d love feedback from makers, developers, operators, and AI teams on: • what you’d want from a Fair Source AI workspace • how you think about model choice and local-first AI tools • what would make Rebel useful in your own workflow
About Mindstone Rebel on Product Hunt
“AI workspace for agents that know your work and ask first”
Mindstone Rebel launched on Product Hunt on June 24th, 2026 and earned 160 upvotes and 40 comments, placing #5 on the daily leaderboard. Rebel is a desktop AI workspace for agentic work. It connects your memory, meetings, files, actions, automations, and tools so AI agents can help with real work — while keeping sensitive actions behind approval checks. Built Fair Source, with portable workflows and model choice.
On the analytics side, Mindstone Rebel competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Mindstone Rebel performed against the three products that launched closest to it on the same day.
Who hunted Mindstone Rebel?
Mindstone Rebel was hunted by Melissanthi Papacharalampous. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Melissanthi Papacharalampous
Hey Product Hunt, I’m Melissanthi, Senior Product Engineer at Mindstone.
We’re launching Rebel as a Fair Source AI desktop app for agentic work.
The reason we’re doing this now is simple: AI work shouldn’t be trapped inside one closed platform or one model provider. Rebel is built as a desktop workspace that people can download, run locally, inspect, customise, and connect to their own tools through MCP.
Fair Source means the code is available, but with practical restrictions that let us keep building the product sustainably. Small teams and individuals can use and adapt Rebel freely, while larger organisations need a commercial licence.
This release is also part of a broader push toward more portable AI workflows: model choice, local-first files, MCP connectors, and workflows that teams can actually understand and adapt.
We’d love feedback from makers, developers, operators, and AI teams on:
• what you’d want from a Fair Source AI workspace
• how you think about model choice and local-first AI tools
• what would make Rebel useful in your own workflow