[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-71988":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":26,"readmeContent":27,"aiSummary":28,"trendingCount":16,"starSnapshotCount":16,"syncStatus":29,"lastSyncTime":30,"discoverSource":31},71988,"ogx","ogx-ai\u002Fogx","ogx-ai","Open GenAI Stack","https:\u002F\u002Fogx-ai.github.io\u002F",null,"Python",8407,1315,119,98,0,6,15,40,18,40.36,"MIT License",false,"main",[],"2026-06-12 02:02:57","\u003Ch1 align=\"center\">OGX\u003C\u002Fh1>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fogx\u002F\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fogx?logo=pypi\" alt=\"PyPI Version\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fogx\u002F\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fdm\u002Fogx\" alt=\"PyPI Downloads\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fhub.docker.com\u002Fu\u002Fogx\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002Fogx\u002Fdistribution-starter?logo=docker\" alt=\"Docker Hub Pulls\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Fblob\u002Fmain\u002FLICENSE\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fl\u002Fogx.svg\" alt=\"License\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fdiscord.gg\u002FZAFjsrcw\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fdiscord\u002F1257833999603335178?color=5865F2&logo=discord&logoColor=ffffff\" alt=\"Discord\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Factions\u002Fworkflows\u002Funit-tests.yml?query=branch%3Amain\">\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Factions\u002Fworkflows\u002Funit-tests.yml\u002Fbadge.svg?branch=main\" alt=\"Unit Tests\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Factions\u002Fworkflows\u002Fintegration-tests.yml?query=branch%3Amain\">\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Factions\u002Fworkflows\u002Fintegration-tests.yml\u002Fbadge.svg?branch=main\" alt=\"Integration Tests\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fapi-openai\u002Fconformance\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdynamic\u002Fjson?url=https%3A%2F%2Fraw.githubusercontent.com%2Fogx-ai%2Fogx%2Fmain%2Fdocs%2Fstatic%2Fopenai-coverage.json&query=%24.summary.conformance.score&suffix=%25&label=OpenResponses%20Conformance&color=brightgreen\" alt=\"OpenResponses Conformance\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fdeepwiki.com\u002Fogx-ai\u002Fogx\">\u003Cimg src=\"https:\u002F\u002Fdeepwiki.com\u002Fbadge.svg\" alt=\"Ask DeepWiki\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n[**Quick Start**](https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fgetting_started\u002Fquickstart) | [**Documentation**](https:\u002F\u002Fogx-ai.github.io\u002Fdocs) | [**OpenAI API Compatibility**](https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fapi-openai) | [**Discord**](https:\u002F\u002Fdiscord.gg\u002FZAFjsrcw)\n\n> [!IMPORTANT]\n> **Llama Stack is now OGX.** The name changed, and so did the mission — model-agnostic, multi-SDK, production-grade. [Read the full announcement →](https:\u002F\u002Fogx-ai.github.io\u002Fblog\u002Ffrom-llama-stack-to-ogx)\n\n**Open-source agentic API server for building AI applications. OpenAI-compatible. Any model, any infrastructure.**\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fstatic\u002Fimg\u002Farchitecture-animated.svg\" alt=\"OGX Architecture\" width=\"100%\">\n\u003C\u002Fp>\n\nOGX is a drop-in replacement for the OpenAI API that you can run anywhere — your laptop, your datacenter, or the cloud. Use any OpenAI-compatible client or agentic framework. Swap between Llama, GPT, Gemini, Mistral, or any model without changing your application code.\n\n```python\nfrom openai import OpenAI\n\nclient = OpenAI(base_url=\"http:\u002F\u002Flocalhost:8321\u002Fv1\", api_key=\"fake\")\nresponse = client.chat.completions.create(\n    model=\"llama-3.3-70b\",\n    messages=[{\"role\": \"user\", \"content\": \"Hello\"}],\n)\n```\n\n## What you get\n\n- **Chat Completions & Embeddings** — standard `\u002Fv1\u002Fchat\u002Fcompletions`, `\u002Fv1\u002Fcompletions`, and `\u002Fv1\u002Fembeddings` endpoints, compatible with any OpenAI client\n- **Responses API** — server-side agentic orchestration with tool calling, MCP server integration, and built-in file search (RAG) in a single API call ([learn more](https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fapi-openai))\n- **Vector Stores & Files** — `\u002Fv1\u002Fvector_stores` and `\u002Fv1\u002Ffiles` for managed document storage and search\n- **Batches** — `\u002Fv1\u002Fbatches` for offline batch processing\n- **[Open Responses](https:\u002F\u002Fwww.openresponses.org\u002F) conformant** — the Responses API implementation passes the Open Responses conformance test suite\n- **Multi-SDK support** — use the [Anthropic SDK](https:\u002F\u002Fdocs.anthropic.com\u002Fen\u002Fapi\u002Fmessages) (`\u002Fv1\u002Fmessages`) or [Google GenAI SDK](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Finteractions) (`\u002Fv1alpha\u002Finteractions`) natively alongside the OpenAI API\n\n## Use any model, use any infrastructure\n\nOGX has a pluggable provider architecture. Develop locally with Ollama, deploy to production with vLLM, or connect to a managed service — the API stays the same.\n\nSee the [provider documentation](https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fproviders) for the full list.\n\n## Get started\n\nInstall and run a OGX server:\n\n```bash\n# One-line install\ncurl -LsSf https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Fraw\u002Fmain\u002Fscripts\u002Finstall.sh | bash\n\n# Or install via uv\nuv pip install ogx[starter]\n\n# Start the server (uses the starter distribution with Ollama)\nuv run ogx stack run starter\n```\n\nThen connect with any OpenAI, Anthropic, or Google GenAI client — [Python](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-python), [TypeScript](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-node), [curl](https:\u002F\u002Fplatform.openai.com\u002Fdocs\u002Fapi-reference), or any framework that speaks these APIs.\n\nSee the [Quick Start guide](https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fgetting_started\u002Fquickstart) for detailed setup.\n\n## Resources\n\n- [Documentation](https:\u002F\u002Fogx-ai.github.io\u002Fdocs) — full reference\n- [OpenAI API Compatibility](https:\u002F\u002Fogx-ai.github.io\u002Fdocs\u002Fapi-openai) — endpoint coverage and provider matrix\n- [Getting Started Notebook](.\u002Fdocs\u002Fgetting_started.ipynb) — text and vision inference walkthrough\n- [Contributing](CONTRIBUTING.md) — how to contribute\n\n**Client SDKs:**\n\n|  Language |  SDK | Package |\n| :----: | :----: | :----: |\n| Python |  [ogx-client-python](https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx-client-python) | [![PyPI version](https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fogx_client.svg)](https:\u002F\u002Fpypi.org\u002Fproject\u002Fogx_client\u002F) |\n| TypeScript   | [ogx-client-typescript](https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx-client-typescript) | [![NPM version](https:\u002F\u002Fimg.shields.io\u002Fnpm\u002Fv\u002Fogx-client.svg)](https:\u002F\u002Fnpmjs.org\u002Fpackage\u002Fogx-client) |\n\n## Community\n\nWe hold regular community calls every Thursday at 09:00 AM PST — see the [Community Event on Discord](https:\u002F\u002Fdiscord.gg\u002FZAFjsrcw) for details.\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=ogx-ai\u002Fogx&type=Date)](https:\u002F\u002Fwww.star-history.com\u002F#ogx-ai\u002Fogx&Date)\n\nThanks to all our amazing contributors!\n\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fogx-ai\u002Fogx\u002Fgraphs\u002Fcontributors\">\n  \u003Cimg src=\"https:\u002F\u002Fcontrib.rocks\u002Fimage?repo=ogx-ai\u002Fogx\" alt=\"OGX contributors\" \u002F>\n\u003C\u002Fa>\n","OGX 是一个开源的、用于构建AI应用的代理API服务器，兼容OpenAI API。其核心功能包括提供标准的聊天完成和嵌入式端点，支持多种模型如Llama、GPT等，并且可以在任何基础设施上运行，无论是本地笔记本、数据中心还是云端。技术特点在于其高度的灵活性与可扩展性，允许用户在不修改应用程序代码的情况下更换底层模型。OGX非常适合需要快速开发和部署基于文本生成或处理的人工智能解决方案的企业和个人开发者使用。",2,"2026-06-11 03:39:50","high_star"]