Neural Architect Branch Thinking
STDIOMCP tool for structured thinking and analysis across AI platforms through branch management.
MCP tool for structured thinking and analysis across AI platforms through branch management.
An MCP tool enabling structured thinking and analysis across multiple AI platforms through branch management, semantic analysis, and cognitive enhancement.
Platform | Status | Integration |
---|---|---|
Claude | ✅ | Native support |
VSCode Copilot | ✅ | Via MCP extension |
Cursor | ✅ | Direct integration |
Roo | 🚧 | In development |
Command Line | ✅ | CLI tool |
Claude Code | ✅ | Native support |
Neural Architect enhances AI interactions through:
Component | Requirement | Notes |
---|---|---|
Node.js | ≥18.0.0 | Required for MCP protocol |
TypeScript | ≥5.3.0 | For type safety |
Memory | ≥512MB | Recommended: 1GB |
Storage | ≥100MB | For caching & analytics |
Network | Low latency | <50ms recommended |
Category | Current | Target | Status |
---|---|---|---|
Response Time | <100ms | <50ms | 🚧 |
Thought Processing | 1000/sec | 2000/sec | 🚧 |
Vector Dimensions | 384 | 512 | ⏳ |
Accuracy | 95% | 98% | 🚧 |
Platform Coverage | 5/6 | 6/6 | 🚧 |
Status | Feature | Description |
---|---|---|
✅ | MCP Protocol | Full compatibility with MCP server/client architecture |
✅ | Stdio Transport | Standard I/O communication channel |
✅ | Tool Registration | Automatic registration with Claude |
✅ | Thought Processing | Structured thought handling |
🚧 | Real-time Updates | Live feedback during thought processing |
⏳ | Multi-model Support | Compatibility with other LLMs |
gantt title Neural Architect Development Timeline dateFormat YYYY-MM-DD axisFormat %b-%d todayMarker on section Completed v0.1.0 Initial Release :done, v1, 2025-01-15, 2025-01-30 Core MCP Protocol :done, mcp, 2025-02-01, 2025-02-05 Semantic Processing :done, sem, 2025-02-05, 2025-02-10 Analytics Engine :done, ana, 2025-02-10, 2025-02-15 v0.2.0 Release :done, v2, 2025-02-15, 2025-02-19 section Current Sprint Advanced Visualization :active, vis, 2025-03-10, 2025-03-16 Real-time Updates :active, rt, 2025-03-12, 2025-03-28 Roo Integration :roi, 2025-03-14, 2025-03-31 Performance Optimization :opt, 2025-03-15, 2025-03-30 Plugin System :plug, 2025-03-17, 2025-04-05 section Q2 2025 Streaming Response :stream, 2025-04-01, 2025-04-15 Enhanced Error Handling :err, 2025-04-16, 2025-04-30 Multi-modal Processing :multi, 2025-05-01, 2025-05-15 Knowledge Graph :graph, 2025-05-16, 2025-05-31 Pattern Recognition :pat, 2025-06-01, 2025-06-30 section Q3 2025 Cross-tool Communication :cross, 2025-07-01, 2025-07-31 Context-aware Processing :context, 2025-08-01, 2025-08-31 Custom Embeddings :embed, 2025-09-01, 2025-09-30 section Q4 2025 API Gateway :api, 2025-10-01, 2025-10-31 Real-time Collaboration :collab, 2025-11-01, 2025-11-30 v1.0 Release :milestone, v3, 2025-12-15, 2025-12-31 section Platform Support Claude Support :done, claude, 2025-01-15, 2025-12-31 VSCode Support :done, vscode, 2025-02-01, 2025-12-31 Cursor Support :done, cursor, 2025-02-01, 2025-12-31 CLI Support :done, cli, 2025-02-15, 2025-12-31 Roo Support :active, roo, 2025-02-19, 2025-12-31
Note: Timeline is subject to adjustment based on development progress and platform requirements.
This section outlines the project’s progress, providing an overview of completed milestones, detailing current sprint tasks, and describing upcoming development phases. The goal is to maintain transparency and ensure alignment across all platform integrations.
Last Updated: March 15, 2025 15:30 EST
Date | Milestone | Details | Platform Support |
---|---|---|---|
2025-02-15 | v0.2.0 Release | Bias detection system implemented with RL integration; analytics pipeline optimized. | All Platforms |
2025-02-10 | Analytics Engine | Real-time metrics established with drift detection and initial feedback integration. | Claude, Cursor |
2025-02-05 | Semantic Processing | Launched vector embeddings and similarity search for enhanced semantic analysis. | All Platforms |
2025-02-01 | Core MCP Protocol | Integrated basic MCP protocol for structured thought handling and communication. | Claude, VSCode |
2025-01-15 | v0.1.0 Release | Initial implementation focusing on core functionalities and Claude integration. | Claude only |
Target Completion: March 31, 2025
During the current sprint, the team is focused on elevating user experience and system performance through key feature enhancements and platform integrations:
Status | Priority | Goal | Target | Platforms | Additional Details |
---|---|---|---|---|---|
🔄 90% | P0 | Advanced Visualization | Feb 25 | All | Developing dynamic and interactive visual interfaces to provide deep insights into thought branches. |
🔄 75% | P0 | Real-time Updates | Mar 05 | Claude, Cursor | Implementing live feedback mechanisms for continuous data flow and interactive processing. |
🔄 60% | P1 | Roo Integration | Mar 15 | Roo | Adapting platform-specific features to seamlessly integrate with Roo. |
🔄 40% | P1 | Performance Optimization | Mar 20 | All | Enhancing system performance to reduce latency and improve overall throughput. |
🔄 25% | P2 | Plugin System | Mar 31 | All | Building a modular plugin system for model-specific adapters to facilitate rapid future integrations. |
This section details the strategic roadmap for upcoming development phases. Each milestone is defined with target timelines, confidence levels, and platform applicability to ensure focused progress across all domains.
Month | Goal | Confidence | Platforms | Description |
---|---|---|---|---|
April | Streaming Response Support | 90% | All | Enabling streaming responses to support real-time data processing and interactive outputs. |
April | Enhanced Error Handling | 85% | All | Integrating advanced error detection and recovery processes to ensure system resilience. |
May | Multi-modal Processing | 75% | Claude, Cursor | Expanding capabilities to process images, audio, and video alongside text for a richer analytical scope. |
May | Knowledge Graph Integration | 70% | All | Establishing a comprehensive knowledge graph to interlink data and provide deeper contextual insights. |
June | Advanced Pattern Recognition | 65% | All | Developing sophisticated algorithms to detect and analyze complex thought patterns and trends. |
Month | Goal | Confidence | Platforms | Description |
---|---|---|---|---|
July | Cross-tool Communication | 60% | All | Facilitating seamless interoperability and data exchange among diverse AI tools. |
August | Context-aware Processing | 55% | All | Enhancing the system’s ability to adapt dynamically to user context for personalized insights. |
September | Custom Embeddings Support | 50% | All | Introducing customizable embedding configurations to tailor semantic analysis for specific use cases. |
Month | Goal | Confidence | Platforms | Description |
---|---|---|---|---|
October | Advanced API Gateway | 45% | All | Developing a robust API gateway to handle high-volume requests with secure integrations. |
November | Real-time Collaboration | 40% | All | Building collaborative features that enable multiple users to interact and share insights in real-time. |
December | v1.0 Release | 80% | All | Final comprehensive release including full feature sets, API integrations, and multi-platform support. |
This document is maintained to ensure transparency and clarity throughout the project lifecycle. For further details or updates, please refer to the internal project dashboard or contact the project lead.
Note: All dates and estimates are subject to change based on development progress and platform requirements.
Last Updated: March 15, 2025 15:30 EST
Next Update: March 22, 2025
graph LR A[Input] --> B[Semantic Processing] B --> C[Vector Embedding] C --> D[Pattern Recognition] D --> E[Knowledge Graph] E --> F[Output]
O(log n)
# For Claude Desktop { "branch-thinking": { "command": "node", "args": ["/path/to/tools/branch-thinking/dist/index.js"] } } # For VSCode ext install mcp-branch-thinking # For Cursor cursor plugin install @mcp/branch-thinking # For Command Line npm install -g @mcp/branch-thinking-cli # For Development npm install @modelcontextprotocol/server-branch-thinking
# Cursor /think analyze this problem # VSCode Copilot #! branch-thinking: analyze # Claude Use branch-thinking to analyze... # Command Line na analyze "problem statement" # Roo @branch-thinking analyze # Claude Code /branch analyze
list # Show all thought branches
focus <branchId> # Switch to specific branch
history [branchId] # View branch history
semantic-search <query> # Search across thoughts
analyze-branch <id> # Generate branch analytics
detect-bias <id> # Check for cognitive biases
na semantic-search "query" [--threshold=0.7] [--max=10] na multi-hop "start" "end" [--depth=3] na analyze-clusters [--method=dbscan] [--epsilon=0.5]
na analyze branch-name [--metrics=all] na track node-id [--window=5] na detect-bias branch-name [--types=all]
{ "name": "@modelcontextprotocol/server-branch-thinking", "version": "0.2.0", "type": "module", "bin": { "mcp-server-branch-thinking": "dist/index.js" }, "capabilities": { "streaming": false, "batchProcessing": true, "contextAware": true } }
Contributions welcome! See Contributing Guide.
Direct Invocation
Use branch-thinking to analyze...
Automatic Triggering Add to Claude's system prompt:
Use branch-thinking when asked to "think step by step" or "analyze thoroughly"
Best Practices
graph TB subgraph Frontend["Frontend Layer"] direction TB UI["User Interface"] VIS["Visualization Engine"] INT["Platform Integrations"] end subgraph MCP["MCP Protocol Layer"] direction TB Server["MCP Server"] Transport["Stdio Transport"] Protocol["Protocol Handler"] Stream["Stream Processor"] end subgraph Core["Core Processing"] direction TB BM["Branch Manager"] SP["Semantic Processor"] BD["Bias Detector"] AE["Analytics Engine"] RL["Reinforcement Learning"] KG["Knowledge Graph"] end subgraph Data["Data Layer"] direction TB TB["Thought Branches"] TN["Thought Nodes"] SV["Semantic Vectors"] CR["Cross References"] IN["Insights"] Cache["Cache System"] end subgraph Analytics["Analytics Engine"] direction TB TM["Temporal Metrics"] SM["Semantic Metrics"] PM["Performance Metrics"] BS["Bias Scores"] ML["Machine Learning"] end subgraph Integration["Platform Integration"] direction TB Claude["Claude API"] VSCode["VSCode Extension"] Cursor["Cursor Plugin"] CLI["Command Line"] Roo["Roo Integration"] end %% Main Data Flow Frontend --> MCP MCP --> Core Core --> Data Core --> Analytics Integration --> MCP %% Detailed Connections UI --> VIS VIS --> INT Server --> Transport Transport --> Protocol Protocol --> Stream BM --> SP SP --> BD BD --> AE AE --> RL RL --> KG TB --> TN TN --> SV CR --> IN TM --> ML SM --> ML PM --> ML %% Status Styling classDef implemented fill:#90EE90,stroke:#333,stroke-width:2px,color:#000; classDef inProgress fill:#FFB6C1,stroke:#333,stroke-width:2px,color:#000; classDef planned fill:#87CEEB,stroke:#333,stroke-width:2px,color:#000; %% Implementation Status class UI,Server,Transport,Protocol,BM,SP,BD,AE,TB,TN,SV,CR,Claude,VSCode,Cursor,CLI implemented; class VIS,INT,Stream,RL,KG,Cache,TM,SM,PM,Roo inProgress; class ML,BS planned;
Note: Architecture updated as of February 19, 2024. Components reflect current implementation status._
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Last Updated: March 15, 2025 15:30 EST Next Scheduled Update: March 26, 2025