Building a web access layer for local AI agents

A developer shares their experience of creating a centralized web access layer to manage interactions between local AI models and external services. This approach addresses the maintenance burden of building individual integrations for every new agent project.

• The author stopped maintaining separate GitHub clients, Reddit integrations, documentation scrapers, and search APIs for each project.
• A single gateway handles request routing, caching, retries, and exposes different services through one interface.
• The solution is open source under the name Agent-Span on GitHub.

This architecture simplifies experimentation with local agents by allowing the model to communicate with a unified gateway rather than managing multiple direct tool connections.