One place where your company's AI skills, tools and knowledge live - centrally managed, reviewed and access-controlled, and usable from any AI agent. Hexis is a layer on top of Git: same core (versioning, PRs), plus a clean UX so anyone can use skills, suggest changes, and submit new ones and admins can govern which context, tools, and skills each person, team, or agent can access. Consumed via MCP, works in any agent in the company.
We're launching Hexis because we've seen everyone (including ourselves) putting skills and context into GitHub. Versioning, PRs, review; it works for a bit. But then non-technical people have to learn the whole workflow. GitHub was built for software development, and it breaks down when you use it at scale for something it wasn't built for.
Hexis is a layer on top of Git. It keeps the core (versioning, PRs) and adds a non-dev friendly UX on top, and allows file-based access management (that just doesn't work with Github/Gitlab)
Users in companies can simply connect any agent of their choice through an MCP server, and can use skills, suggest changes, and submit new ones without ever touching a Git workflow.
Admins manage which context, tools, and skills each person, team, or agent has access to. They approve requested changes and review submitted skills.
P.S: In Aristotelian philosophy, 'hexis' is a skill you don't just perform once, but genuinely possess.
the Git-as-source-of-truth angle is the right call for enterprise. versioning and PR reviews are already the trust layer devs understand, so layering agent skill governance on top means you're not asking orgs to adopt a new trust model from scratch. curious how you handle conflicts when two teams submit competing versions of the same skill, does it go through a standard PR review flow or is there a separate governance step for that?
The access control angle is the interesting part to me. I load skills through a per-directory scoped Skill tool day to day, and the one thing that trips me up is resolution order when the same skill name exists at two governance levels (say a team-wide skill and a project-local override). Does Hexis pick the more specific one automatically, or is that a conflict an admin has to resolve by hand?
Hi team!
Really proud of what we’ve built here.
Over and over, people we’ve talked to have mentioned how hard it is to share and connect to skills, tools and context in their organizations.
Specifically for two reasons:
Sharing skills between coworkers is slow and clunky when you have to share files and folders
Using GitHub to store and distribute skills is a big learning curve for non-technical users
By open sourcing our work, we hope you have now a simple way to upload, share and improve on your team’s context, skills and tool!
Would love your feedback ❤️
It is crazy how easy this makes switching the agent I'm working in, and how easy it makes creating background agents for various tasks!
You can also test the demo before looking into self-hosting directly at demo.bevel.software
About Hexis on Product Hunt
“Git-backed skills, tools & context for AI agents”
Hexis launched on Product Hunt on August 8th, 2026 and earned 182 upvotes and 8 comments, earning #3 Product of the Day. One place where your company's AI skills, tools and knowledge live - centrally managed, reviewed and access-controlled, and usable from any AI agent. Hexis is a layer on top of Git: same core (versioning, PRs), plus a clean UX so anyone can use skills, suggest changes, and submit new ones and admins can govern which context, tools, and skills each person, team, or agent can access. Consumed via MCP, works in any agent in the company.
Hexis was featured in Open Source (68.7k followers) and Artificial Intelligence (475.6k followers) on Product Hunt. Together, these topics include over 126.8k products, making this a competitive space to launch in.
Who hunted Hexis?
Hexis was hunted by fmerian. 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.
Want to see how Hexis stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Hey Product Hunt! 👋
We're launching Hexis because we've seen everyone (including ourselves) putting skills and context into GitHub. Versioning, PRs, review; it works for a bit. But then non-technical people have to learn the whole workflow. GitHub was built for software development, and it breaks down when you use it at scale for something it wasn't built for.
Hexis is a layer on top of Git. It keeps the core (versioning, PRs) and adds a non-dev friendly UX on top, and allows file-based access management (that just doesn't work with Github/Gitlab)
Users in companies can simply connect any agent of their choice through an MCP server, and can use skills, suggest changes, and submit new ones without ever touching a Git workflow.
Admins manage which context, tools, and skills each person, team, or agent has access to. They approve requested changes and review submitted skills.
P.S: In Aristotelian philosophy, 'hexis' is a skill you don't just perform once, but genuinely possess.