Executives from Linux Foundation, Anthropic, Block, and OpenAI announcing the Agentic AI Foundation at a San Francisco press conference.
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Linux Foundation forms Agentic AI Foundation for open AI agents

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The Linux Foundation announced the creation of the Agentic AI Foundation (AAIF) on December 9, 2025, in San Francisco, to foster open-source development of AI agents. Co-founded by Anthropic, Block, and OpenAI, the initiative includes donations of key projects: Anthropic's Model Context Protocol (MCP), Block's goose framework, and OpenAI's AGENTS.md. The foundation aims to promote interoperability and prevent fragmentation in AI agent technologies.

The Agentic AI Foundation (AAIF), launched under the Linux Foundation's umbrella, seeks to provide a neutral platform for advancing autonomous AI systems that can make decisions and coordinate across tools. This move addresses the shift from conversational AI to agentic technologies, ensuring transparent and collaborative evolution through open governance.

Anthropic contributed its Model Context Protocol (MCP), released in November 2024, which has become a standard for connecting AI models to external tools, data, and applications. Over 10,000 MCP servers are now active, with adoption by platforms including Claude, Cursor, Microsoft Copilot, Gemini, VS Code, and ChatGPT. 'MCP started as an internal project to solve a problem our own teams were facing,' said Mike Krieger, Chief Product Officer at Anthropic. 'A year later, it's become the industry standard... Donating MCP to the Linux Foundation as part of the AAIF ensures it stays open, neutral, and community-driven.'

Block donated goose, an open-source, local-first AI agent framework released in early 2025, which integrates language models with extensible tools using MCP standards for reliable workflows. 'We're at a critical moment for AI,' noted Manik Surtani, Head of Open Source at Block. 'By establishing the AAIF... we're building the infrastructure for an AI future that benefits everyone.'

OpenAI provided AGENTS.md, released in August 2025, a markdown-based standard for guiding AI coding agents in repositories, adopted by over 60,000 open-source projects and tools like GitHub Copilot and Cursor. 'For AI agents to reach their full potential, developers and enterprises need trustworthy infrastructure,' stated Nick Cooper, Member of the Technical Staff at OpenAI.

Platinum members include AWS, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft, and OpenAI, with additional gold and silver tiers featuring companies like Cisco, IBM, and Salesforce. The AAIF will host events like the MCP Dev Summit in New York City on April 2-3, 2026. Jim Zemlin, Executive Director of the Linux Foundation, emphasized: 'Bringing these projects together under the AAIF ensures they can grow with the transparency and stability that only open governance provides.' This collaborative effort aims to standardize protocols, enhance safety, and support widespread adoption of agentic AI.

Apa yang dikatakan orang

Reactions on X to the Linux Foundation's launch of the Agentic AI Foundation are predominantly positive, celebrating the open-source donations of MCP by Anthropic, goose by Block, and AGENTS.md by OpenAI to promote interoperability in agentic AI. Major companies including Google, Microsoft, AWS, Cloudflare, Snowflake, Docker, and others announced membership, emphasizing neutral governance and community-driven standards. Developers and analysts expressed excitement over preventing fragmentation and standardizing AI agents, with minimal skepticism noted.

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Realistic illustration of Linux Foundation executives and AI partners launching Agentic AI Foundation, featuring collaborative autonomous AI agents on a conference screen.
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Linux Foundation meluncurkan Agentic AI Foundation

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Linux Foundation telah meluncurkan Agentic AI Foundation untuk mendorong kolaborasi terbuka pada sistem AI otonom. Perusahaan teknologi besar, termasuk Anthropic, OpenAI, dan Block, menyumbangkan proyek open-source kunci untuk mempromosikan interoperabilitas dan mencegah vendor lock-in. Inisiatif ini bertujuan menciptakan standar netral untuk agen AI yang dapat membuat keputusan dan menjalankan tugas secara independen.

In 2025, AI agents became central to artificial intelligence progress, enabling systems to use tools and act autonomously. From theory to everyday applications, they transformed human interactions with large language models. Yet, they also brought challenges like security risks and regulatory gaps.

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Linux Foundation telah mengumumkan daftar acara global 2026, menekankan AI open source, sistem agentik, dan infrastruktur yang dapat diskalakan. Program ini menampilkan puluhan konferensi dan pertemuan di seluruh dunia, dengan fokus kuat pada transisi AI dari eksperimen ke penyebaran dunia nyata. Acara Eropa menyoroti peluang kolaborasi di wilayah tersebut.

Linux Foundation telah merilis Laporan Tahunan 2025-nya, yang menyoroti pertumbuhan stabil dan kolaborasi global dalam ekosistem open source. Organisasi ini memperkirakan akan melampaui 300 juta dolar dalam pendapatan tahun ini di tengah kemajuan dalam AI terbuka, keamanan, dan tata kelola komunitas. Open source terus menjadi dasar sistem kritis dunia.

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Elon Musk berbicara kepada karyawan xAI pada rapat perusahaan secara keseluruhan di San Francisco minggu lalu, menyatakan optimisme tentang masa depan perusahaan dalam perlombaan kecerdasan umum buatan. Ia menekankan pentingnya penskalaan pusat data dan pengamanan pendanaan untuk mengalahkan pesaing. Musk juga berspekulasi tentang ide inovatif seperti pusat data berbasis luar angkasa.

Red Hat dan IBM akan menyelenggarakan hackathon secara langsung di Boston pada 24 Januari 2026. Acara ini bertujuan memberdayakan startup lokal dengan alat AI siap perusahaan untuk mengatasi tantangan dunia nyata melalui metode open source. Peserta dapat berkolaborasi dengan pakar Red Hat untuk mengembangkan solusi atas masalah teknis tersulit mereka.

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Linus Torvalds, pencipta Linux, telah beralih ke pengkodean berbantuan AI untuk proyek hobi, menandai perubahan dari kritiknya sebelumnya terhadap alat semacam itu. Pada Januari 2026, ia memperbarui repositori GitHub AudioNoise-nya, mengkreditkan Google Antigravity untuk menghasilkan kode Python untuk memvisualisasikan sampel audio. Langkah ini menyoroti peran AI dalam pengembangan eksperimental sementara ia fokus pada logika inti dalam C.

 

 

 

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