OGX: An Open-Source, Vendor-Neutral Generative AI Application Server

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arXiv cs.AI · Francisco Javier Arceo, S'ebastien Han, Matthew Farrellee, Charlie Doern, Yuan Tang, Derek Higgins, Varsha Prasad Narsing, Gordon Sim, Sumanth Kamenani, Ben Browning, Raghotham Murthy · 2026-08-18 AI

[Submitted on 12 Jun 2026]

Authors:Francisco Javier Arceo, Sébastien Han, Matthew Farrellee, Charlie Doern, Yuan Tang, Derek Higgins, Varsha Prasad Narsing, Gordon Sim, Sumanth Kamenani, Ben Browning, Raghotham Murthy

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Abstract:OGX (Open GenAI Stack) is an open-source AI application server and Python library that implements the APIs of major frontier labs (OpenAI, Anthropic, Google) with pluggable backend providers. Developers building agentic AI applications–such as retrieval-augmented generation pipelines, multi-turn agents, and tool-calling workflows–can develop against a single API surface and deploy with any combination of inference engine, vector database, and safety backend, without changing application code. OGX’s primary focus is the Responses API for server-side agentic orchestration, conforming to the Open Responses specification. The server also supports the Anthropic Messages API and Google GenAI Interactions API, decoupling SDK choice from model and deployment decisions. With over 20 inference providers, 13 vector store backends, and a companion Kubernetes Operator for production deployment, OGX serves as the self-hosted, model-agnostic backend for AI-powered developer tools including Claude Code, Codex CLI, OpenCode, and OpenHands. The project has over 8,400 GitHub stars, 242 contributors, and 4,000 commits across nearly two years of public development.

Submission history

From: Francisco Javier Arceo [view email]
[v1] Fri, 12 Jun 2026 21:02:25 UTC (12 KB)

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추출 본문 · 출처: arxiv.org · https://arxiv.org/abs/2608.14580