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I built plugai because I kept forgetting to add libraries I'd genuinely want in a new project logging, testing, HTTP clients until three weeks in when refactoring got painful.
plugai scans your project's tech stack (Node, Python, Go, Rust, Java, PHP, Ruby — whatever you've got), sends the stack + file structure to an LLM, and gets back ranked recommendations (Critical/Useful/Optional). The part I cared about most: it doesn't stop at the AI's opinion it pulls real GitHub star counts for every suggestion, so you can tell "this is a well-established library" from "the model just made this up." Then you pick what to install, right from the TUI.
Works with OpenAI, Anthropic, or any OpenAI-compatible endpoint (Groq, Ollama, local proxies, etc.), so you're not locked into one provider.
It's early actively improving test coverage, error handling, and CI right now — so bug reports and feature requests are very welcome. Would love to hear what you'd want it to catch that it doesn't yet.
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One thing that would make this really useful for me: a flag to filter recommendations by license type. Lots of projects have strict requirements around MIT vs Apache vs GPL and having to check each suggestion manually is a chore. Maybe something like `--license MIT` or a config file where I can blacklist certain licenses upfront.
One thing that would make this really useful for me: a flag to filter recommendations by license type. Lots of projects have strict requirements around MIT vs Apache vs GPL and having to check each suggestion manually is a chore. Maybe something like `--license MIT` or a config file where I can blacklist certain licenses upfront.