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orquestación de flujos

  • Co-Sight is an open-source AI framework offering real-time video analytics for object detection, tracking, and distributed inference.
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    What is Co-Sight?
    Co-Sight is an open-source AI framework that simplifies development and deployment of real-time video analytics solutions. It provides modules for video data ingestion, preprocessing, model training, and distributed inference on edge and cloud. With built-in support for object detection, classification, tracking, and pipeline orchestration, Co-Sight ensures low-latency processing and high throughput. Its modular design integrates with popular deep learning libraries and scales seamlessly using Kubernetes. Developers can define pipelines via YAML, deploy with Docker, and monitor performance through a web dashboard. Co-Sight empowers users to build advanced vision applications for smart city surveillance, intelligent transportation, and industrial quality inspection, reducing development time and operational complexity.
    Co-Sight Core Features
    • Video data ingestion and preprocessing
    • Pipeline orchestration via YAML definitions
    • Multi-model fusion for detection, tracking, classification
    • Distributed inference on edge and cloud
    • Scalable deployment with Docker and Kubernetes
    • Built-in monitoring dashboard
  • Matcha Agent is an open-source AI agent framework enabling developers to build customizable autonomous agents with integrated tools.
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    What is Matcha Agent?
    Matcha Agent provides a flexible foundation for building autonomous agents in Python. Developers can configure agents with custom toolsets (APIs, scripts, databases), manage conversational memory, and orchestrate multi-step workflows across different LLMs (OpenAI, local models, etc.). Its plugin-based architecture allows easy extension, debugging, and monitoring of agent behavior. Whether automating research tasks, data analysis, or customer support, Matcha Agent streamlines end-to-end agent development and deployment.
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