Modular – drop AI features into your app with two function calls
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…
Modular – drop AI features into your app with two function calls launched on April 20, 2026 with 7 votes, #1,538 of 21,248 launches that month and more than 75% of that year's launches.
What it does
Stop building AI plumbing. Drop a function, get a full AI feature. Modular handles context, chat history, embeddings, and retrieval — so you don
Drop a function, get a full AI feature. Modular handles context, embeddings, chat history, and retrieval — so you can ship instead of infrastructure. Every team hits this wall. What looks like a one-week feature becomes a three-month rabbit hole. We're onboarding the first batch of developers. Join the waitlist and we'll reach outfrom modular.run
In the maker’s words, at launch
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…
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