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Oct 12 · Monday

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Models and APIs8AI Agent27coding agent4Multi-agent systems3

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Application layer4

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MCP and skills4Memory4Monitors10Permissions and sandboxing3Video0Embeddings0
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System type：coding agentSystem component：MemorySystem component：VideoSystem component：EmbeddingsClear all

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  1. Evaluation and benchmarksarXiv 2610.08902

    论文提出 agent plasticity 指标衡量智能体通过经验自我改进的效率

    提出 agent plasticity 指标衡量智能体通过经验自我改进的效率

    arXiv
    2610.08902
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    Claude Fable 5, Claude Opus 5, GPT-5.6 Sol and others10
    Abstract作者用固定权重协议比较前沿模型把经验写成制品后的留出增益与习得效率。

    作者用 agent plasticity 衡量一件事：权重冻结时，智能体把经验写成可继承制品，再换成留出能力增益，这个转换有多省。

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  3. Evaluation and benchmarksarXiv 2608.04830

    ContextWeave：面向长周期办公工作流的智能体记忆基准

    构建 ContextWeave，评测办公工作流智能体记忆的下游增益

    arXiv
    2608.04830
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    DeepSeek-V4-Pro, GPT-5.5, GLM-5.1 and others5
    AbstractContextWeave 用真实办公任务流检验记忆是否改善工作区质量与偏好对齐。

    ContextWeave 是面向语言智能体记忆的纵向基准，用来看召回先前经验能否让后续办公任务做得更好。

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  4. Evaluation and benchmarksarXiv 2607.14611

    论文评测 Claude Code 与 Codex 记忆文件中的提示注入风险

    评测编码 Agent 记忆文件中提示注入的跨会话影响

    arXiv
    2607.14611
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    Claude Haiku 4.5, Claude Opus 4.7, GPT-5.2 and others4
    Abstract已植入记忆文件的载荷可以跨会话影响 Claude Code 与 Codex，攻击成功与载荷是否留下是两种不同的失败。

    Bad Memory 在沙箱合成工作区里评测文件型持久记忆上的提示注入，比较载荷能否改变当前会话，以及能否在后续会话中留下或叠加。

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