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Falconer v0.2.0 - "Autonomous Hunter" 🦅

21 Oct 23:20
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Falconer v0.2.0 - "Autonomous Hunter" 🦅

Release Date: December 2024
Version: 0.2.0
Codename: "Autonomous Hunter"


🎯 What's New

Falconer v0.2.0 represents a major milestone in autonomous Bitcoin earning, introducing AI-powered decision making, funding proposal automation, and comprehensive documentation. This release transforms Falconer from a basic Bitcoin utility into a fully autonomous earning agent while maintaining strict security controls and human oversight.

🚀 Major Features

🤖 AI Agent System

  • Autonomous Decision Making: AI-powered agent using Ollama (llama3.1:8b) for intelligent Bitcoin earning decisions
  • Market Intelligence: Real-time analysis of Bitcoin market conditions, fee rates, and mempool health
  • Strategy Management: Extensible framework for custom earning strategies with built-in examples
  • Learning & Adaptation: AI agent learns from historical performance to improve future decisions
  • Risk Management: Dynamic risk assessment and policy enforcement for safe autonomous operation

💸 Funding Proposal System

  • Autonomous Funding Requests: AI agent automatically generates funding proposals when balance runs low
  • n8n Integration: Seamless integration with n8n workflows for human approval via email, Slack, SMS, etc.
  • PSBT Workflow: Air-gapped signing support for secure fund transfers
  • Proposal Management: Complete lifecycle management of funding proposals with status tracking
  • Webhook Server: Built-in webhook server for handling approval notifications

📊 Market Analysis Engine

  • Real-time Fee Analysis: Live Bitcoin fee rate monitoring and prediction
  • Mempool Health Monitoring: Network congestion analysis and transaction timing recommendations
  • Market Trend Analysis: Price movement analysis and opportunity identification
  • Multi-source Data: Integration with multiple Bitcoin data providers for comprehensive insights

🛡️ Enhanced Security Model

  • Policy Engine: Configurable spending limits, risk controls, and time-based restrictions
  • Air-gapped Signing: All transactions require manual PSBT signing on offline devices
  • Multi-layer Validation: Market analysis, risk assessment, and human approval gates
  • Audit Trails: Complete logging of all operations and decisions for compliance

📚 Comprehensive Documentation

Complete Documentation Suite

  • Enhanced README: Professional overview with architecture, quick start, and feature highlights
  • AI Setup Guide: Detailed Ollama configuration and n8n workflow examples
  • API Documentation: Complete CLI and programmatic interface reference
  • Security Guide: Threat models, best practices, and operational security procedures
  • Strategy Development Guide: Framework for creating custom earning strategies

Developer Resources

  • Code Examples: Comprehensive examples for all major features
  • Testing Strategies: Unit, integration, and performance testing guidelines
  • Deployment Guides: Production deployment and monitoring procedures
  • Troubleshooting: Common issues and solutions

🔧 Technical Improvements

Architecture Enhancements

  • Modular Design: Clean separation of concerns with dedicated modules for AI, funding, and policy
  • Async/Await Support: Full asynchronous operation for better performance and scalability
  • Error Handling: Robust error handling with comprehensive logging and recovery procedures
  • Configuration Management: Flexible configuration system with environment variable support

Performance Optimizations

  • Efficient Market Analysis: Optimized data processing and caching for real-time market intelligence
  • Resource Management: Smart resource allocation and scaling for earning strategies
  • Non-blocking Operations: Asynchronous operations to prevent system blocking
  • Memory Optimization: Efficient memory usage for long-running autonomous operations

🎮 New Commands & Features

AI Agent Commands

# Start autonomous AI agent
falconer ai-agent --autonomous

# Configure AI model and parameters
falconer ai-agent --model llama3.1:13b --interval 600

# Get agent status and metrics
falconer ai-agent --status

Funding Proposal Commands

# List all funding proposals
falconer proposals list

# Show detailed proposal information
falconer proposals show <proposal-id>

# View proposal statistics
falconer proposals stats

# Start webhook server for approvals
falconer webhook-server

# Test n8n integration
falconer proposal-test

Enhanced Market Analysis

# Generate comprehensive fee intelligence
falconer fee-brief --detailed --output json

# Check mempool health with historical data
falconer mempool-health --history 48 --threshold 75

🔒 Security Features

Policy Engine

  • Spending Limits: Configurable daily and per-transaction spending caps
  • Risk Controls: Dynamic risk assessment based on market conditions
  • Time Restrictions: Business hours and weekend operation controls
  • Approval Workflows: Human approval required for large transactions

Operational Security

  • Rate Limiting: Built-in protection against rapid-fire transactions
  • Emergency Stops: Manual override capabilities for immediate shutdown
  • Audit Logging: Complete logging of all decisions and actions
  • Backup Systems: Automated backup and recovery procedures

📈 Performance Metrics

System Performance

  • Market Analysis: < 1 second response time for real-time data
  • AI Decisions: 5-minute autonomous cycles with intelligent decision making
  • Funding Proposals: < 30 seconds from trigger to n8n notification
  • Webhook Processing: < 100ms response time for approval notifications

Resource Usage

  • Memory: < 512MB for full autonomous operation
  • CPU: < 10% average usage during normal operation
  • Network: Optimized API calls with intelligent caching
  • Storage: Efficient data storage with automatic cleanup

🛠️ Installation & Setup

Quick Start

# Clone the repository
git clone https://github.com/CodeByMAB/Falconer.git
cd Falconer

# Install dependencies
pip install -e .

# Configure environment
cp .env.example .env
# Edit .env with your Bitcoin node and LNbits endpoints

# Start autonomous AI agent
python -m falconer.cli ai-agent --autonomous

Prerequisites

  • Python 3.9+
  • Bitcoin Core/Knots node
  • LNbits or LND instance
  • Ollama (for AI capabilities)
  • n8n (for funding proposal workflows)

🔄 Migration from v0.1.0

Breaking Changes

  • Configuration: New environment variables for AI and funding features
  • CLI Commands: New command structure with subcommands
  • Database Schema: Updated persistence layer for new features

Migration Steps

  1. Backup: Backup existing configuration and data
  2. Update: Pull latest code and install new dependencies
  3. Configure: Update .env file with new configuration options
  4. Test: Run falconer proposal-test to verify n8n integration
  5. Deploy: Start with falconer ai-agent --autonomous

🐛 Bug Fixes

Critical Fixes

  • NameError Fix: Resolved market_data scope issue in AI agent cycles
  • Memory Leaks: Fixed memory leaks in long-running autonomous operations
  • Error Handling: Improved error handling and recovery procedures
  • Configuration Validation: Enhanced configuration validation and error messages

Performance Fixes

  • Market Analysis: Optimized market data processing and caching
  • API Calls: Reduced redundant API calls and improved response times
  • Resource Usage: Optimized memory and CPU usage for better performance

🔮 What's Next

Planned Features (v0.3.0)

  • Multi-currency Support: Support for additional cryptocurrencies
  • Advanced Strategies: More sophisticated earning strategies and arbitrage opportunities
  • Mobile App: Mobile interface for monitoring and control
  • Cloud Deployment: Docker containers and cloud deployment options

Community Features

  • Strategy Marketplace: Community-contributed earning strategies
  • Plugin System: Extensible plugin architecture for custom integrations
  • API Ecosystem: Public API for third-party integrations
  • Analytics Dashboard: Web-based dashboard for monitoring and analytics

🙏 Acknowledgments

Contributors

  • CodeByMAB: Lead developer and architect
  • Community: Beta testers and feedback providers
  • Open Source: Built on excellent open-source libraries and tools

Special Thanks

  • Bitcoin Community: For the inspiration and technical foundation
  • Ollama Team: For the excellent AI model integration
  • n8n Community: For the powerful workflow automation platform

📞 Support & Community

Getting Help

  • Documentation: Comprehensive guides in the docs/ directory
  • Issues: Report bugs and request features on GitHub Issues
  • Discussions: Join community discussions on GitHub Discussions
  • Email: Contact support at codebymab@protonmail.com

Community Resources

⚠️ Important Notes

Security Reminders

  • Start Small: Begin with small amounts for testing
  • Monitor Closely: Regularly monitor autonomous operations
  • Keep Keys Secure: Always use air-gapped signing for transactions
  • **Update ...
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