Show HN: Wide Events – Rails telemetry for agents and humans in a DB you own

Description and use

**Project Summary:**

Wide Events is an open-source project that enables Rails telemetry for agents and humans in a database owned by the user, adding AI capability without starting from scratch. This project is ideal for prototyping AI features, building RAG or agent workflows, and evaluating model tooling. However, it requires manual inspection and verification of its quality signals, license, maintenance, documentation, and release cadence before production adoption.

**Value Proposition:**

The value of Wide Events lies in its ability to empower users to add AI capabilities to their existing infrastructure without the need to build a new model stack. This allows for faster development and prototyping of AI features, making it an attractive choice for those looking to explore the potential of AI in their workflows.

**Practical Adoption Path:**

To adopt Wide Events, users should first manually inspect the project's integration signals and metadata to ensure it meets their specific needs. Next, they should verify the project's license, maintenance, documentation, and release cadence to ensure it is reliable and suitable for production use. With these checks in place, users can begin integrating Wide Events into their Rails infrastructure and exploring its capabilities for prototyping AI features, building RAG or agent workflows, and evaluating model tooling.

Before adopting

Review the current source documentation, licensing terms, dependencies, and maintenance status against your intended use. [View the source](https://github.com/adammiribyan/wide_events).

Use in a workflow

Show HN: Wide Events – Rails telemetry for agents and humans in a DB you own 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.