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Matrix download for Linux

Free download Matrix Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Matrix whose latest release can be downloaded as matrixv0.2.3sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Matrix with OnWorks for free.

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- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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Matrix


DESCRIPTION

Matrix is a distributed, large-scale engine for multi-agent synthetic data generation and experiments: it provides the infrastructure to run thousands of “agentic” workflows concurrently (e.g. multiple LLMs interacting, reasoning, generating content, data-processing pipelines) by leveraging distributed computing (like Ray + cluster management). The idea is to treat data generation as a “data-to-data” transformation: each input item defines a task, and the runtime orchestrates asynchronous, peer-to-peer agent workflows, avoiding global synchronization bottlenecks. That design makes Matrix particularly well-suited for large-batch inference, model benchmarking, data curation, augmentation, or generation — whether for language, code, dialogue, or multimodal tasks. It supports both open-source LLMs and proprietary models (via integration with model backends), and works with containerized or sandboxed environments for safe tool execution or external code runs.



Features

  • Distributed multi-agent workflow engine enabling thousands of concurrent agent interactions
  • Support for mainstream LLM inference backends (open-source or proprietary) with multi-node and multi-model orchestration
  • Data-pipeline utilities: generation, quality filtering, augmentation, and post-processing support for high-throughput dataset creation
  • Asynchronous, peer-to-peer agent architecture — avoids global barriers, supports fine-grained scheduling, and maximizes resource utilization
  • Containerized execution support (via sandbox or container wrappers) for safe execution of tool-use or external code during generation
  • Configurable and modular runtime (via configuration system) adaptable to different data-generation or benchmarking tasks


Programming Language

Python


Categories

Artificial Intelligence

This is an application that can also be fetched from https://sourceforge.net/projects/matrix-meta.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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