DLLM releases D-native llama.cpp agent stack

This is the kind of project that matters less for immediate adoption than for proving a point: D can host a serious agent loop while staying close to the metal.

• –The [GitHub repo](https://github.com/DannyArends/DLLM) frames DLLM as a D-language agent built directly on llama.cpp via importC, while the [Reddit post](https://www.reddit.com/r/LocalLLaMA/comments/1s2jgz5/dllm_a_minimal_d_language_interface_for_running/) highlights the three-model pipeline and tool system.
• –The built-in tooling is unusually broad for such a small repo, which makes it feel closer to an experimental agent platform than a thin language binding.
• –CUDA offload, multimodal vision, RAG, and KV-cache condensation are the right kind of features if the goal is a practical local agent, not a demo.
• –The main constraint is obvious: D is niche, so the project’s value is more technical inspiration than ecosystem-scale impact.