crypto-claude-desk
★ 63
vs
cockpit-agent
★ 26
crypto-claude-desk vs cockpit-agent
crypto-claude-desk: This project transforms Claude Code into a comprehensive crypto trading desk using a multi-agent system, entirely defined by markdown and MCP servers, eliminating the need for Python orchestration code. It features 7 coordinated AI agents that perform market analysis, technical analysis, risk assessment, and portfolio management for simulated trading and cognitive learning.; cockpit-agent: Cockpit Agent is an edge-cloud collaborative AI agent system designed for smart cockpits, providing a single voice entry point for diverse tasks from millisecond-level vehicle control to multi-day trip planning and deep research. It emphasizes a separation of planning and execution, with LLMs handling understanding and planning while deterministic systems ensure safe and real-time execution of critical functions.
01
TL;DR
crypto-claude-deskMulti-Agent · ★ 63
Automated Crypto Market Analysis: Get live market snapshots, detailed technical/news analysis, and trading decisions for various cryptocurrencies.
cockpit-agentMulti-Agent · ★ 26
Context-aware Navigation: Planning complex routes with multiple waypoints, real-time ETA, and dynamic re-routing based on ongoing navigation (e.g., "add a gas station, don't be late").
02
Side-by-Side Comparison
Field
crypto-claude-deskcockpit-agentCategory
Multi-Agent
Multi-Agent
Stars
★ 63
★ 26
License
MIT
Apache-2.0
Install Command
claude plugin marketplace add hugoguerrap/crypto-claude-desk && claude plugin install crypto-trading-desk@hugoguerrap && claude
cp .env.example .env && make proto && make up
Updated
2mo ago
4d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Crypto Trading, LLM Orchestration
Multi-Agent System, Smart Cockpit AI, Edge-Cloud Computing
03
Features
crypto-claude-desk017 Coordinated AI Agents: Specialists for market monitoring, technical analysis, news sentiment, risk, portfolio, learning, and system building.
02Markdown-Driven Orchestration: Agents, tools, and routing logic are defined in markdown files, requiring zero Python orchestration code.
0383 Real-time Tools via 9 MCP Servers: Access to various crypto data sources, exchanges, technical indicators, and on-chain analytics.
04Cognitive Learning System: Tracks predictions, evaluates trade outcomes in natural language, builds setup-centric track records, and maintains a pattern library.
05Paper Trading & Autonomous Mode: Supports simulated trading with $10,000 virtual capital and can run autonomously via cron for continuous monitoring and analysis.
cockpit-agent01Planning and Execution Separation: LLMs only produce intent/plans, while deterministic executors handle vehicle control with permission validation, ensuring safety.
02Fast/Slow Dual System Architecture: High-frequency, safety-critical commands execute on the edge with millisecond response times and offline availability; complex, cross-domain intents are orchestrated by the cloud LLM Planner.
03Agent Plug-and-Play: New domain agents can be added without modifying core orchestration code, leveraging a unified gRPC contract and Manifest declarations.
04Real Data Priority & Traceability: Integrates with real data sources (e.g., Gaode, Exa, Tushare), rejects mock data in strict mode, and provides source traceability for external data.
05Full-duplex Voice Interaction: Supports a complete streaming voice interaction loop, including KWS, VAD, real-time ASR/TTS, barge-in, and continuous dialogue.
04
Use Cases
crypto-claude-desk↳Automated Crypto Market Analysis: Get live market snapshots, detailed technical/news analysis, and trading decisions for various cryptocurrencies.
↳AI-Powered Simulated Trading: Practice crypto trading strategies with a paper trading system that learns and improves over time.
↳Multi-Agent System Development & Prototyping: Serve as a template for building new multi-agent systems for other domains using Claude Code's native agent capabilities.
↳Educational Tool for AI & Crypto: Understand how AI agents can collaborate for complex tasks and explore crypto market dynamics without real financial risk.
↳Continuous Market Monitoring & Alerting: Configure autonomous loops to monitor trades, validate predictions, and generate reports.
cockpit-agent↳Context-aware Navigation: Planning complex routes with multiple waypoints, real-time ETA, and dynamic re-routing based on ongoing navigation (e.g., "add a gas station, don't be late").
↳Personalized Long-term Memory: The system remembers user preferences (e.g., "wife likes Cantonese food") and applies them to future queries, directly influencing search results rather than just conversational fillers.
↳Mixed Multi-Intent Handling: Simultaneously executing local vehicle controls (e.g., "turn on AC, play music") and sending slower, complex intents to the cloud for parallel processing within a single request.
↳Asynchronous Deep Research: Initiating multi-perspective, iterative background research tasks (e.g., "research solid-state battery progress"), with progress tracking and proactive, referenced reports.
↳Dynamic Scene Creation & Automation: Creating custom car scenarios with natural language (e.g., "create fishing mode: recline seats, dim ambient light"), where LLM compiles during creation, and activation/execution are deterministic.
FAQ
FAQ
What is the difference between crypto-claude-desk and cockpit-agent?
Both crypto-claude-desk and cockpit-agent are in the Multi-Agent category. crypto-claude-desk has 63 stars, while cockpit-agent has 26 stars.
Which is better, crypto-claude-desk or cockpit-agent?
The best choice depends on your use case. Choose crypto-claude-desk if Automated Crypto Market Analysis: Get live market snapshots, detailed technical/news analysis, and trading decisions for various cryptocurrencies., and cockpit-agent if Context-aware Navigation: Planning complex routes with multiple waypoints, real-time ETA, and dynamic re-routing based on ongoing navigation (e.g., "add a gas station, don't be late")..
Is crypto-claude-desk free or open source?
Yes, crypto-claude-desk is open source on GitHub (MIT).
Is cockpit-agent free or open source?
Yes, cockpit-agent is open source on GitHub (Apache-2.0).
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