
Orxvan developed an OpenAI-compatible interface for the MemoriLabs/Memori repository, enabling seamless integration of both local and third-party large language models. Using Python, they focused on AI integration and API development to expand vendor-agnostic LLM support, which reduced friction for downstream applications and improved deployment flexibility. Their technical approach consolidated all changes into a single feature branch, streamlining future extensions and simplifying maintenance. By optimizing the integration path for third-party OpenAI-compatible LLMs, Orxvan enhanced both performance and reliability. The work addressed interoperability challenges, providing a robust foundation for flexible LLM usage within the Memori platform over the project period.

September 2025 (Memori, MemoriLabs/Memori) — Delivered an OpenAI-compatible interface enabling seamless use of local and third-party LLMs, enhancing flexibility, interoperability, and deployment options.
September 2025 (Memori, MemoriLabs/Memori) — Delivered an OpenAI-compatible interface enabling seamless use of local and third-party LLMs, enhancing flexibility, interoperability, and deployment options.
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