Technical overview of the Silverback AI agent.
Silverback is deployed through Virtuals Protocol using the GAME framework (Generative Autonomous Multimodal Entities).
┌─────────────────────────────────────────┐
│ SILVERBACK AI AGENT │
├─────────────────────────────────────────┤
│ Personality Layer │
│ - Character traits │
│ - Communication style │
│ - Decision framework │
├─────────────────────────────────────────┤
│ Strategy Layer │
│ - Trading strategies │
│ - Risk management │
│ - Portfolio allocation │
├─────────────────────────────────────────┤
│ Execution Layer │
│ - DEX operations │
│ - Trade execution │
│ - Cross-chain actions │
├─────────────────────────────────────────┤
│ Infrastructure Layer │
│ - Silverback DEX (Base) │
│ - Keeta Network integration │
│ - Treasury management │
└─────────────────────────────────────────┘
Virtuals Protocol Integration
What is Virtuals?
Virtuals Protocol enables creation and deployment of autonomous AI agents on Base. Key features:
Tokenized AI Agents — Each agent has its own token
Autonomous Operation — Agents act independently
On-chain Actions — Execute real transactions
GAME Framework — Standardized agent architecture
Silverback's Implementation
Silverback uses Virtuals' Unicorn tokenomics model:
Fair launch through Virtuals launchpad
Built-in liquidity mechanisms
Agent token ($BACK) tied to agent performance
Revenue sharing through buyback model
Agent Capabilities
Market Analysis
Process market data in real-time
Identify patterns and opportunities
Assess risk/reward ratios
Trade Execution
Execute swaps on Silverback DEX
Manage liquidity positions
Perform cross-chain operations
Implement systematic strategies
Post updates on social media
Provide market observations
Infrastructure Management
Manage treasury allocations
Decision Framework
Silverback operates within predefined parameters:
Risk Management
Diversified across positions
Circuit breakers if exceeded
Strategy Selection
The agent evaluates opportunities based on:
Expected Value — Probability × Potential Return
Risk Assessment — Downside scenarios
Market Conditions — Volatility, liquidity, trends
Portfolio Context — Current exposure, correlation
Execution Rules
No revenge trading after losses
Stick to defined strategies
Prioritize capital preservation
Silverback processes data from:
On-chain transactions and pool states
Price feeds across multiple DEXs
Market depth and liquidity data
Historical patterns and volatility
All data processing happens within the agent's autonomous framework.
Transparency vs. Edge
Treasury balance and changes
Trade outcomes (wins/losses)
General strategy categories
Specific entry/exit signals
Proprietary strategy details
Exact position sizing logic
Why? Publishing exact strategies would eliminate their edge. Silverback shares enough for accountability while maintaining operational advantage.
Continuous Operation
Silverback operates 24/7:
Markets never sleep, neither does Silverback
Autonomous monitoring and execution
No human intervention required for routine operations
Alert systems for exceptional conditions
Security Considerations
Operates within Virtuals Protocol security model
Limited to predefined action sets
Cannot exceed risk parameters
Auditable on-chain actions
Treasury Security
Multi-sig where appropriate
Limited withdrawal capabilities
Transparent on-chain treasury
Conservative position sizing
Technical Stack
Future Development
Planned enhancements:
Additional network integrations
Expanded strategy repertoire
Enhanced cross-chain capabilities
Advanced analytics and reporting
Community governance integration
