Products / Open Source

Open Source

Useful AI tools, released in the open.

Open work for the intelligence era.

inAi releases selected tools, experiments, developer utilities, and local-first applications when they can be useful beyond our own work.

Some projects support agent-era development. Some explore new interfaces, media workflows, speech, conversation, or local productivity. Some are reference projects from earlier experiments that remain useful for builders who want to inspect, adapt, or learn from them.

Open Source is one of inAi's four product categories. It is not the whole company, and it is not a promise that every internal system will be public. It is a practical way to share useful work with developers, researchers, builders, and the wider AI ecosystem.

AI-native software is moving quickly. Useful tools often start as experiments, internal utilities, local workflows, prototypes, or developer infrastructure before they become polished products.

When a tool can help other builders, we prefer to release it openly rather than leave it hidden in a private folder. That does not mean every project has the same maturity. Some are active tools. Some are experimental prototypes. Some are reference utilities or legacy projects preserved because they still contain useful ideas.

Project portfolio

The portfolio is grouped by maturity so each project is easy to understand. Active tools can be used or inspected now. Experimental prototypes show directions we are exploring. Reference and legacy projects remain public because they may still be useful to developers, researchers, or builders working on similar problems.

These projects are the strongest current or current-adjacent parts of the Open Source portfolio. They are not all equally mature, but each shows a public direction in inAi’s work: agent-era developer infrastructure, wearable AI interfaces, creative workflow tooling, and speech or conversation assistance.

Active and experimental tools

These projects are the strongest current or current-adjacent parts of the Open Source portfolio. They are not all equally mature, but each shows a public direction in inAi's work: agent-era developer infrastructure, wearable AI interfaces, creative workflow tooling, and speech or conversation assistance.

Use, inspect, contribute, or collaborate.

Open Source work is useful when people can read it, run it, learn from it, and improve it. If a project is useful to you, start with the repository: read the README, inspect the code, open an issue where appropriate, or contribute through the normal GitHub workflow.

For broader collaboration, research, product, or partnership conversations around Open Source work, contact inAi through the relevant collaboration route.

Each repository includes its own license and usage details on GitHub.