Meta

Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model designed for agentic tasks, featuring enhanced capabilities in tool use, computer interaction, and complex coding. Developed by Meta Superintelligence Labs, it supports long-context management and efficient multi-agent orchestration for enterprise-grade workloads.

Llama 3.1

Meta's latest open-source large language model with 405B parameters. Offers state-of-the-art performance on benchmarks while being freely available for commercial use.

FFmpeg at Meta: Media Processing at Scale

Meta has integrated FFmpeg, an open-source multimedia framework, to enhance media processing capabilities across its platforms. By collaborating with FFmpeg developers, FFlabs, and VideoLAN, Meta has contributed to the development of features like threaded multi-lane transcoding and real-time quality metrics, which have been incorporated into the upstream FFmpeg project.

Immersive Web SDK

Immersive Web SDK 1.0 is an open-source framework designed for building immersive web experiences that function across browsers, Meta Quest headsets, and upcoming Meta VR Glasses. It features AI-native development tools, including an Agentic Scene Composer, and supports advanced interaction models like gaze-and-pinch.

Perception Encoder Audiovisual (PE-AV)

Meta's Perception Encoder Audiovisual (PE-AV) is a state-of-the-art multimodal model that embeds audio, video, audio-video, and text into a joint embedding space. Trained using contrastive learning on approximately 100 million audio-video pairs with text captions, PE-AV enables powerful cross-modal retrieval and understanding across audio, video, and text modalities. ([marktechpost.com](https://www.marktechpost.com/2025/12/22/meta-ai-open-sourced-perception-encoder-audiovisual-pe-av-the-audiovisual-encoder-powering-sam-audio-and-large-scale-multimodal-retrieval/?utm_source=openai))

Zurp

Zurp is an open-source research toolkit designed for vetted Meta Bug Bounty researchers to streamline security testing. It integrates directly into Burp Suite and provides AI-agent-compatible tools to resolve Meta-specific identifiers, manage FBDL accounts, and automate request replays.

Rebalancer

Rebalancer is a domain-specific language and library designed for specifying and solving complex assignment problems, such as placing objects into containers under specific constraints. It provides a high-level API for defining objectives and supports multiple solving strategies, including local search and mixed-integer programming.

Astryx

Astryx is an open-source, AI-fluent design system developed by Meta to support both human developers and AI agents. It provides a comprehensive toolkit of over 170 accessible, themeable React components, production-ready templates, and a CLI, all built on React 19 and StyleX.

Action100M

Action100M is a large-scale video action dataset developed by Meta, designed to advance research in action recognition and understanding. It comprises 100 million YouTube video clips, each annotated with hierarchical action labels, enabling the study of complex human activities in diverse contexts.

Muse Spark 1.3

Muse Spark 1.3 is an advanced multimodal AI model designed for complex agentic and coding workflows. It features improved reasoning capabilities, better multitasking, and enhanced reliability in long-horizon tasks.

Meta XR Operator

Meta XR Operator is an experimental OpenXR API layer that enables MCP-compatible AI agents to visually perceive, navigate, and interact with running VR applications. It allows developers to automate the build-test-verify loop by letting agents perform tasks like UI navigation, scene inspection, and controller input simulation within the Meta XR Simulator.

Muse Code

Muse Code is a terminal-based coding agent powered by the Muse Spark 1.2 model, designed to handle complex software engineering tasks across large repositories. It features persistent background agents, repository-scale execution, and built-in verification to automate planning, coding, and debugging workflows.

Immersive Web SDK (IWSDK)

The Immersive Web SDK (IWSDK) is an open-source framework designed to simplify WebXR development by providing a high-performance Entity Component System (ECS) and pre-built systems for physics, spatial audio, and interactions. It features an AI-native development workflow that allows AI agents to see, interact with, and debug 3D scenes in real-time using the Model Context Protocol (MCP).