Show HN: Democr.ai – self-hosted agentic AI runtime with audit and RBAC

Description and use

Here's a brief summary and explanation of the project:

**Summary:** Democr.ai is an open-source, self-hosted agentic AI runtime that enables users to add AI capabilities without starting from scratch. It offers audit and Role-Based Access Control (RBAC) features, making it suitable for prototype development, building RAG (Reasoning Agent Graph) or agent workflows, and evaluating model tooling.

**Value:** The value proposition of Democr.ai lies in its ability to streamline AI development by providing a pre-built runtime, allowing users to focus on building and integrating AI features without the need to start from a blank model stack. This makes it an attractive option for organizations looking to quickly prototype AI features or build internal workflows.

**Practical Adoption Path:** To adopt Democr.ai, users should follow these steps:

1. Review the documentation and issues on the GitHub repository to ensure it meets their requirements.
2. Verify the license, maintenance, and release cadence to ensure the project is actively maintained.
3. Set up the runtime and configure the audit and RBAC features according to their needs.
4. Integrate the runtime with their existing tools and workflows.
5. Monitor and test the performance and security of the runtime in a controlled environment before scaling it for production use.

**Production Readiness:** While

Use in a workflow

Show HN: Democr.ai – self-hosted agentic AI runtime with audit and RBAC helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.