Native AI inference for PHP 8.3+ - run ONNX, GGUF (llama.cpp) and RubixML models directly in your PHP process via FFI. Chat, streaming, embeddings, RAG and vector search. No Python, no HTTP microservices, no Docker sidecars.
Run AI models directly in PHP without needing Python or other services.
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Free · no card · unsubscribe anytimeNative AI inference for PHP 8.3+ - run ONNX, GGUF (llama.cpp) and RubixML models directly in your PHP process via FFI. Chat, streaming, embeddings, RAG and vector search. No Python, no HTTP microservices, no Docker sidecars.
FerryAI has 41 stars on GitHub. It has been forked 23 times. FerryAI is written mainly in PHP. It has been in active development since 2026. FerryAI is available under the MIT license. Its main topics are ai, embeddings, ffi, generative-ai.
Native AI inference for PHP 8.3+ - run ONNX, GGUF (llama.cpp) and RubixML models directly in your PHP process via FFI. Chat, streaming, embeddings, RAG and vector search. No Python, no HTTP microservices, no Docker sidecars.
FerryAI is an open-source project. It is released under the MIT license.
Yes. FerryAI is free and open source — you can use, modify and self-host it.
FerryAI is available under the MIT license.
FerryAI is written mainly in PHP.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.