Show HN: Modular – drop AI features into your app with two function calls

Stop building AI plumbing. Drop a function, get a full AI feature. Modular handles context, chat history, embeddings, and retrieval — so you don
6 points by modular_dev 185 days ago modular.run 1 comments
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I kept hitting the same wall at work every time we needed to ship an AI feature. What looked like a week of work turned into picking a model, setting up a vector DB, managing embeddings, wiring up chat history, handling retries — none of it was the actual feature. So I built Modular. You register a function that returns your app's data, then call ai.run() for one-shot features or ai.chat() for stateful conversation. Everything else — context management, embeddings, session history, model routing, retries — is handled. MCP-native from day one. Works with Claude, GPT-4o, and Gemini. Still early — collecting feedback before building the full SDK. Would love to hear if others have hit this same wall, or if you think I'm solving the wrong problem.

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