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OpenClawBrain v12.2.1
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2026/3/9
Learned retrieval graph for AI agents. Nodes are document chunks, edges are mutable weighted pointers. The graph learns from outcomes using policy-gradient updates (REINFORCE) and self-regulates via homeostatic decay, synaptic scaling, and tier hysteresis.
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资源信息
- 数据来源
- bigquery-gharchive
- 分类
- document-processing
- 创建时间
- 2026/3/9
- 更新时间
- 2026/4/26
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