{"version":1,"type":"story","url":"https://digestai.news/story/meta-rebrands-llama-stack-to-ogx-as-open-source-agentic-api-server","json":"https://digestai.news/story/meta-rebrands-llama-stack-to-ogx-as-open-source-agentic-api-server.json","markdown":"https://digestai.news/story/meta-rebrands-llama-stack-to-ogx-as-open-source-agentic-api-server.md","slug":"meta-rebrands-llama-stack-to-ogx-as-open-source-agentic-api-server","headline":"Meta rebrands Llama Stack to OGX as open-source agentic API server","summary":"Meta has rebranded its Llama Stack project to **OGX**, an open-source agentic API server designed for building AI applications compatible with OpenAI’s API. Released under the MIT license, OGX supports any model and infrastructure, acting as a drop-in replacement for the OpenAI API. It simplifies local and cloud deployment, offering pluggable backends like Ollama, vLLM, or managed cloud services while maintaining a unified API surface for development.\n\nThe project, previously known as Llama Stack, boasts over **8,400 GitHub stars** and **1,400 forks**, with active community engagement. OGX includes features like server-side agentic orchestration, tool calling, and built-in RAG capabilities, reducing the need for manual vector database setup. A tutorial demonstrates how to build a **DocBrain** assistant that retrieves document content and flags actionable tasks, showcasing its practicality for real-world workflows.","keyPoints":["OGX replaces Llama Stack as Meta’s open-source agentic API server, compatible with OpenAI’s API and any model/infrastructure","Supports local (Ollama), cloud (vLLM), or managed providers with a single API surface, reducing migration effort","Includes RAG, tool calling, and agentic orchestration, with a tutorial building a document-questioning assistant with task automation"],"whyItMatters":"OGX lowers barriers for developers to build scalable AI agents without vendor lock-in, blending local flexibility with production-grade features. Its open-source nature and compatibility with existing OpenAI clients accelerate adoption for startups and enterprises.","category":{"slug":"agents","name":"Agents & Tools","url":"https://digestai.news/category/agents"},"entities":{"companies":["Meta"],"models":["Llama 3.2:3b"],"people":["Shittu Olumide"]},"firstPublishedAt":"2026-10-15T14:00:00Z","updatedAt":"2026-10-15T14:00:00Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"KDnuggets","title":"Building AI Applications with OGX, the Open-Source Agentic API Server","url":"https://kdnuggets.com/building-ai-applications-with-open-source-agentic-api-server-ogx","publishedAt":"2026-10-15T14:00:00Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Meta rebrands Llama Stack to OGX as open-source agentic API server\", 15 October 2026, https://digestai.news/story/meta-rebrands-llama-stack-to-ogx-as-open-source-agentic-api-server","publisher":"Digest AI","title":"Meta rebrands Llama Stack to OGX as open-source agentic API server","datePublished":"2026-10-15T14:00:00Z","url":"https://digestai.news/story/meta-rebrands-llama-stack-to-ogx-as-open-source-agentic-api-server"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}