PeiranLi0930/Plugin-GBT

Registry 信息

项目简介

Plugin-GBT 是一个开源的 OpenClaw 插件，旨在提升智能体的推理能力并节省代币，在保持高性能的同时降低使用成本。

要点

• 代币高效的智能体优化
• 增强的推理能力
• 开源且可定制
• 易于与现有智能体集成

使用场景

• 降低AI应用的API成本
• 提升智能体响应质量
• 构建成本敏感的AI助手
• 优化聊天机器人的代币使用

README 摘要

# GBT (Gated Behavior Tree) Plugin GBT turns OpenClaw's throwaway execution logs into a reusable experience tree. That changes the economics of agent work. Without GBT, every similar task forces the agent to plan again, reason again, debug again, and spend expensive tokens again. With GBT, successful runs and failed runs are distilled into reusable operational memory. The next time a similar task appears, OpenClaw can stop wasting tokens on rediscovering the same path and instead execute against a learned tree of concrete experience. And when a covered task fails, GBT does not just shrug and move on. It queues that failed trajectory, waits for idle time, asks for approval, silently replays the task inside OpenClaw, localizes the broken step, repairs it, verifies the repaired run against the real environment, and only then writes the repaired experience back into the tree. This is not a prompt wrapper. It is a persistent experience system for OpenClaw. ## Research Origin This plugin is built on the core ideas from the paper: **Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents** Peiran Li, Jiashuo Sun, Fangzhou Lin, Shuo Xing, Tianfu Fu, Suofei Feng, Chaoqun Ni, Zhengzhong Tu https://arxiv.org/abs/2603.05517 The plugin version in this repository focuses on turning agent logs into reusable experience trees, routing covered tasks onto cheaper single-step executors, and replaying failed trajectories to repair them into reusable experience. As noted below, this current release does **not** implement the paper's safety-gate mechanism. ## What GBT Actually Does - Distills completed OpenClaw runs into reusable, non-task-specific macro nodes. - Stores both success and failure paths in

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