
Legacy open-source platform-engineering assistant with configurable infrastructure tools and chat interfaces.
GeniA is a legacy open-source platform-engineering assistant with configurable infrastructure actions and Slack or Streamlit interfaces. Its tool catalog includes ArgoCD, AWS, GitHub, Jenkins, Kubernetes, Open Policy Agent, PagerDuty and Slack webhooks.
The Apache-2.0 repository was last pushed in November 2023. Deployment requires containers, model-provider credentials and infrastructure permissions, so assess compatibility before adopting it for a current environment.
Source code is available without a subscription; model calls, hosting and operational work have separate costs. OpenAI and Azure are documented model-provider options. SSO and RBAC were planned features.
Product overview
GeniA is a legacy open-source platform-engineering assistant with configurable infrastructure actions and Slack or Streamlit interfaces. Its tool catalog includes ArgoCD, AWS, GitHub, Jenkins, Kubernetes, Open Policy Agent, PagerDuty and Slack webhooks.
Information as of October 5, 2026
Platform-engineering assistant using function-calling tools through Slack or Streamlit, with configurable infrastructure actions. It is not merely a general IDE code-completion product.[1], [2]
Apache-2.0 source and installation docs remain accessible; the repository last pushed November 22, 2023. Self-managed containers, provider credentials and infrastructure permissions require engineering setup and compatibility checks.[1], [2]
The supported-tools page documents ArgoCD, AWS, GitHub, Jenkins, Kubernetes, Open Policy Agent, PagerDuty and Slack webhooks. OpenAI and Azure are model-provider options. SSO and role-based access control remain planned features.[1], [2]
Apache-2.0 source is accessible without a subscription; model calls, infrastructure and operational setup have costs. The legacy status lowers confidence in budgeting a new deployment.[1], [2]
Platforms: Apache-2.0 source and installation docs remain accessible; the repository last p[1], [2]
86/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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