Hexis is a centralized platform designed to manage your company's AI skills, tools, and knowledge in one accessible location. Built as an open-source layer on top of Git, Hexis leverages familiar concepts like versioning and pull requests while providing a clean user experience tailored for teams.

With Hexis, anyone in the organization can easily use existing skills, suggest modifications, and submit new ones. Meanwhile, administrators maintain strict governance, controlling precisely which context, tools, and skills each individual, team, or AI agent is authorized to access. Consumed via MCP (Model Context Protocol), Hexis works seamlessly with any AI agent utilized across your company.

Pros of Hexis

Centrally manages company-wide AI skills, tools, and context
Built on top of Git for familiar version control and pull request workflows
Clean UX allows anyone to use, suggest, or submit new skills
Robust admin governance for access control across users, teams, and agents
Consumed via MCP and compatible with any AI agent

Cons of Hexis

Relies on Git workflows which may require a learning curve for non-technical team members
Requires proper administrative setup to govern role-based access control effectively

Frequently Asked Questions

What is Hexis?

Hexis is a Git-backed management layer that stores a company's AI skills, tools, and knowledge in one centralized place with access control and governance.

How do AI agents consume Hexis?

Hexis is consumed via MCP (Model Context Protocol), allowing it to work with any AI agent used within your company.

Who can manage and suggest changes in Hexis?

Anyone in the company can use skills, suggest changes, and submit new ones through a clean UX, while admins centrally govern access for individuals, teams, and agents.