** " 新的是什么 " (2025-04):** 翻译:

• 高级可视化:集群(k- 度/度),中心上方,边缘上方,以及任务和优先事项的代理上方
• 代理缓存 & preftch: LRU+TTL 缓存用于嵌入,摘要,分析,以及主动代理缓存变暖
• 加强分析:实时、多处和焦点节点支持;代理优化元数据
• 为代理商和用户更新文件和登入

– – . . .

□ 特性

• ** branch 管理:** 创建、聚焦和导航多行思维
• ** 交叉参考:** 将相关想法链接到各分支(类型、得分)
• AI洞察:** 自动透视和摘要生成
• 语义搜索:** 使用嵌入法查找相关想法
• 高级视觉:**
• 节点集群(克-度/度)
• 中央重叠(接近,介于之间)
• 边缘捆绑
• 任务重叠(状况、优先事项、下一步行动)
• 所有节点/对接的代理上盖和元数据
• 焦点点和多处可视化
• ** 代理缓存和预览:**
• LRU+TTL缓存,用于嵌入、摘要、分析
• 代理工作流程的主动缓存变暖

🚦 Branch-Thinking MCP Tool

What’s New (2025-04):

• Advanced visualization: clustering (k-means/degree), centrality overlays, edge bundling, and agentic overlays for tasks and priorities
• Agentic cache & prefetch: LRU+TTL caches for embeddings, summaries, analytics, and proactive agent cache warming
• Enhanced analytics: real-time, multi-branch, and focusNode support; agent-optimized metadata
• Upgraded documentation and onboarding for agents and users

---

Features

• 🌳 Branch Management: Create, focus, and navigate multiple lines of thought
• 🔗 Cross-References: Link related thoughts across branches (typed, scored)
• 💡 AI Insights: Automatic insight and summary generation
• 🧠 Semantic Search: Find related thoughts using embeddings
• 📊 Advanced Visualization:
  • Node clustering (k-means/degree)
  • Centrality overlays (closeness, betweenness)
  • Edge bundling
  • Task overlays (status, priority, next-action)
  • Agentic overlays and metadata for all nodes/edges
  • FocusNode and multi-branch visualization
• ⚡ Agentic Cache & Prefetch:
  • LRU+TTL caches for embeddings, summaries, analytics
  • Proactive cache warming for agent workflows
• 🗂️ Persistent Storage: Queryable, extensible, and never lose a thought
• 🔄 Real-Time & Multi-Branch: Visualize and analyze multiple branches and nodes in real-time
• 🛠️ Production-Grade: Robust error handling, performance optimizations, and agent/human-friendly APIs

---

🛠️ Technology Stack

• Node.js (18+)
• TypeScript (4.x)
• @dagrejs/graphlib: Graph structure, algorithms, and analytics
• ml-kmeans: Clustering for visualization