AgentFrame 三件套整合包: 记忆 + 压缩 + 主动调度, 一条命令装齐 (入选 awesome-dsh-plugin)
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AgentFrame 三件套整合包: 记忆 + 压缩 + 主动调度, 一条命令装齐 (入选 awesome-dsh-plugin)
Users who want this capability in DSH; check the source and docs before installing.
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bash dsh plugin --profile web add github:ljsysfurryACE/dsh-agentframe-suite 一条命令，三个插件全部激活： | 插件 | 分类 | 干什么 | |------|------|--------| | dsh-compaction | Tools | 确定性语义提取替换 LLM 摘要（压缩零模型调用） | | dsh-memory-director | Memory | LLM 决策的跨会话记忆（记住什么由模型定） | | dsh-aura-scheduler | Workflow | 价值网络主动调度（V = 紧迫度+相关性−打扰代价） | ## 为什么整合 - 一个入口：不用分别找三个仓库、装三次 - 配置开箱即用：cordis.patch.yml 已带完整默认配置 - 协同工作：compaction 管上下文、memory 管记忆、aura 管主动开口——三件套本来就是一套设计 ## 配置 装完可以在设置页/配置里分别调整各插件： yaml - id: compaction-agentframe # 压缩 config: semantic: true # 语义提取 physical: true # 物理压缩 bytesPerToken: 7776 - id: memory-director # 记忆 config: model: deepseek-v4-flash dedupThreshold: 0.8 forgetThreshold: 0.1 - id: aura-scheduler # 主动调度 config: quietHours: [23, 8] offPeakHours: [2, 7] # 低谷时段省钱 alpha: 0.4 beta: 0.4 delta: 0.2 ## 🖥️ WebUI 控制面板（v1.1 新增） 安装后，Web 界面的会话视图会出现 AgentFrame tab（在 Chat/Trajectory/Context 右侧）： 🧠 记忆 — MemoryDirector 的记忆条目 (文本 + 重要度) 📦 压缩 — 最近压缩运行 (保留 vs 剔除 比例条) 💓 心跳 — Aura 价值网络实时状态 (V 值/心跳数/主动次数) + 传感器触发计数 + 静默/低谷价 徽章 - 数据每 5 秒自动刷新 - 中英文双语界面 - 无额外运行时依赖（esbuild 打包，React 由 Web 平台注入） ### 架构 Client (web tab) Host (Cordis 插件) ┌──────────────────┐ RPC ┌──────────────────────┐ │ conversation.view │ ◄────► │ connection.rpc.handle │ │ AgentFrame tab │ /agentframe-suite │ /agentframe-suite │ │ React 渲染面板 │ │ 读 ctx.memory/compaction/aura │ └──────────────────┘ └──────────────────────┘ ## 验证 ✅ 三插件 cordis.patch.yml 注册条目完整 ✅ suite 服务聚合状态 (compaction/memory/aura) ✅ 依赖版本锁定 (0.1.0 / 0.1.0 / 0.2.0) ## 关联仓库 - dsh-compaction - dsh-memory-director - dsh-aura-scheduler - AgentFrame v3 ## License GPL-3.0 © Cloud LTE Studio / AgentFrameNot by stars — picked by hand, one at a time.
A visual settings dashboard for DeepSeek Harness: every registered settings namespace — including third-party plugin ones the official UI never covers — rendered as editable, schema-driven forms. Early, but the right direction: stop hand-editing YAML.
A DIY trajectory visualizer for DeepSeek Harness: watch the agent’s plan and execution unfold as a graph instead of scrolling raw logs. Early, but it fills a real gap — understanding at a glance what the agent is doing.
Dispatch DSH work from Claude Code / Codex: spin up in-host DSH agent sessions with per-tier presets, watch native subagent progress, and borrow a multimodal bridge that lends the text-only harness vision and image generation. An orchestration plugin that turns DSH into a backend for other coding agents.