Open Arsenal

Built Together for the Future.

Horizon Runtime is an AGPL-3.0+ universal AI runtime created to provide a future-proof foundation for artificial intelligence workloads. Rather than focusing on a single model family, hardware vendor, or deployment environment, Horizon Runtime is designed to serve as a unified execution platform capable of running language models, reasoning systems, multimodal applications, speech processing, vision models, embeddings, and agent-based workflows. Its architecture emphasizes openness, interoperability, and long-term adaptability, ensuring that organizations and developers can continue to build on a stable foundation as AI technologies evolve.

At the heart of Horizon Runtime is its adaptive mixed-precision inference engine. The runtime intelligently allocates precision levels such as INT4, INT8, FP8, FP16, and FP32 based on workload requirements, balancing performance, memory consumption, power usage, and output quality. Combined with advanced memory management features such as KV cache compression, paged attention, context streaming, and memory pooling, Horizon Runtime aims to maximize hardware efficiency while supporting increasingly large models and long-context workloads.

Horizon Runtime is designed to run anywhere. Through a hardware abstraction layer, the platform supports CPUs, NVIDIA CUDA, AMD ROCm, Apple Metal, Vulkan, OpenCL, and future accelerator technologies without requiring major architectural changes. The runtime can scale from a personal workstation to enterprise servers, private clouds, distributed clusters, and edge deployments. This flexibility allows organizations to maintain control over their infrastructure while avoiding vendor lock-in.

The platform includes dedicated runtimes for language generation, advanced reasoning, computer vision, speech processing, embeddings, and autonomous agents. Native support for model adapters and open formats such as GGUF, Safetensors, ONNX, AWQ, GPTQ, EXL2, and future formats allows Horizon Runtime to remain compatible with a broad ecosystem of open-source AI models. Developers can integrate models from multiple communities while maintaining a consistent execution environment and API surface.

For advanced AI workloads, Horizon Runtime provides support for mixture-of-experts architectures, distributed inference, multi-node execution, dynamic expert routing, and intelligent workload scheduling. These capabilities enable efficient execution of next-generation reasoning models and large-scale AI systems while minimizing wasted compute resources. The runtime is also designed to support future innovations in adaptive reasoning, speculative decoding, distributed agent collaboration, and emerging model architectures.

Beyond performance and scalability, Horizon Runtime is built around open-source principles and community collaboration. Released under the AGPL-3.0+ license, the project encourages transparency, shared innovation, and long-term sustainability. Through its plugin system, extensible architecture, monitoring framework, security controls, and support for open standards, Horizon Runtime seeks to become a universal execution layer for open artificial intelligence. Its guiding philosophy is simple: build once, adapt forever. Built Together for the Future.

This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution under Section 7. A Specification Branding License is available for attribution-free deployments, with fees based on usage, scope, and deployment size.