Atomic Local AI Server runs local models via multiple engines
A single server layer that swaps between llama.cpp, vLLM, SGLang and MLX removes the usual lock-in to one inference stack, so the same machine can serve GGUF chat models and TensorRT-accelerated workloads. Developers building local agents can point Claude, Codex or OpenClaw at an OpenAI-compatible endpoint without rewriting code. The 3 million-model Hugging Face pull and free open-source licensing make it a direct competitor to Ollama and LM Studio.
