Hexis vs adk-python
Hexis: Hexis is an open-source, Git-backed control plane for managing AI agent skills, tools, context, permissions, and identity. It provides a centralized, self-hosted platform for teams to collaborate on and deploy AI plugins and knowledge bases with fine-grained access control and an audit trail.; adk-python: ADK (Agent Development Kit) is an open-source, code-first Python framework designed for building, evaluating, and deploying sophisticated AI agents with high flexibility and control. It simplifies the creation and orchestration of agent workflows, supporting everything from simple tasks to complex multi-agent systems, while being model and deployment agnostic.
TL;DR
Centralized management and distribution of AI agent skills, tools, and company knowledge within an enterprise.
- You want Google's Apache-2.0, code-first toolkit with graph workflows, multi-agent hierarchies, a built-in dev UI, and evaluation tooling.
- Your team deploys on Google Cloud (Cloud Run or Vertex AI Agent Engine) or works across Python and ADK's other language editions.
- Your infrastructure is centred on Azure and .NET; Microsoft Agent Framework is tailored to that stack.
- You want a visual low-code workflow builder rather than writing Python code; n8n or Activepieces fit better.
Side-by-Side Comparison
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