Co-Sight - ZTE's open-source super agent project
Co-Sight is an open-source super agent project from ZTE Corporation, serving as a collaborative visual analytics platform and intelligent automation foundation. It employs a multi-agent architecture to build a collaborative "digital team" system, driven by a DAG task engine to achieve task...
What is Co-Sight?
Co-Sight is an open-source super agent project from ZTE Corporation, serving as a collaborative visual analytics platform and intelligent automation foundation. It employs a multi-agent architecture to build a collaborative "digital team" system, driven by a DAG task engine to achieve efficient task scheduling and execution. Co-Sight possesses self-evolution capabilities, automatically generating intelligent summary reports through execution records and model inference, forming a continuous improvement loop. Prioritizing security and reliability, all operations run in a sandbox environment, supporting log traceability, access control, and compliance auditing.
Co-Sight's main functions
- Intelligent summary and reflectionBased on execution process records and model reasoning, it can automatically perform debriefing and generate intelligent summary reports, including debriefing of key success points, identification of reasons for failure, and feedback on optimization suggestions, forming a closed loop of continuous self-evolution.
- Multiple security protectionsAll operations are performed in a controlled sandbox environment to prevent data from going out of bounds or being leaked; system logs are recorded in real time, and the entire operation path is traceable; access control and compliance auditing are supported to ensure the safe and secure operation of enterprises.
- Real-time monitoring and intelligent identificationIt can analyze surveillance videos in real time, quickly identify abnormal behaviors, and accurately identify various behaviors and objects through deep learning technology.
- Flexible deploymentIt supports multiple operating systems and hardware platforms, and is easy to deploy and expand.
Co-Sight's technical principles
- Multi-agent architectureCo-Sight employs a multi-agent architecture to build a collaborative "digital team" system. A supervisory agent coordinates and schedules multiple executing agents, each performing its specific duties to collaboratively complete complex tasks. This enables the system to possess excellent task decomposition and process coordination capabilities, dynamic replanning and adaptive fault tolerance, automatically responding to unexpected situations during task execution, flexibly adjusting strategies, and ensuring continuous and stable processes.
- DAG Task EngineCo-Sight introduces a DAG (Directed Acyclic Graph) task scheduling mechanism to intelligently identify concurrent nodes in a task. Combined with the concurrent execution capabilities of multiple agents, it significantly shortens the overall process cycle. It provides a rich set of tools, including various search engines, speech and image recognition tools, document processing tools, etc., enabling one-stop completion of all tasks from planning to execution.
- Deep learning and natural language processingCo-Sight integrates deep learning models and natural language processing (NLP) techniques, using large-scale neural networks for reasoning and decision-making. The system can process massive amounts of image data, text information, and diverse sensor data.
Co-Sight project address
- Github repository:https://github.com/ZTE-AICloud/Co-Sight
Application scenarios of Co-Sight
- Industry ResearchAutomatically generates visual reports, such as SWOT analysis.
- News AnalysisIntegrate information from multiple sources to gain insights into public opinion.
- Travel planning: Integrate multi-platform APIs to optimize the process.
- academic researchLiterature retrieval and review automatic generation.