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    3. AMAP-ML

    AMAP-ML

    AMAP-ML is the machine learning research organization behind LongHorizon-Harness, an open-source harness for running AI agents on long-horizon real-world tasks. The team, credited as the DreamX Team, publishes research on agent state management and verification, with contributors including Ziyu Ma, Hailang Huang, Shun Zou, Yong Wang, Shidong Yang, Yiming Hu, Fei Wei, and XiangXiang Chu. Their work focuses on improving how AI agents handle complex, multi-step workflows across GUI and CLI environments without context drift or unverified self-assessment.

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    At a Glance

    1Tool Listed
    Discussions
    Focus Areas
    Agent Harness
    Autonomous Systems
    Multi-agent Systems
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    AI Tools by AMAP-ML

    (1)
    View LongHorizon-Harness
    LongHorizon-Harness tool icon

    LongHorizon-Harness

    AI Agent Task Harness Framework

    Agent HarnessAutonomous SystemsMulti-agent Systems

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    AI Topics

    3

    AMAP-ML focuses on these topics:

    Agent Harness(1)
    Autonomous Systems(1)
    Multi-agent Systems(1)

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    Website
    github.com/AMAP-ML
    GitHub
    AMAP-ML
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