Trustless agent example

[1evi7eo]

Description

Adds an EIP-8004 (ERC-8004) Trustless Agents implementation on BNB Chain, enabling AI agents to discover, choose, and interact with each other across organizational boundaries without pre-existing trust.

This example:

• Implements the EIP-8004 standard with Identity, Reputation, and Validation registries
• Demonstrates agent registration with identity, capabilities, and metadata
• Provides agent discovery by type, capability, or reputation score
• Includes a reputation system for feedback and scoring
• Supports validation requests for independent checks
• Tracks agent-to-agent interactions
• Includes an interactive web frontend for managing agents
• Integrates with MCP for AI agent interactions

Motivation: EIP-8004 addresses agent discovery and trust in untrusted settings. It complements MCP and A2A by providing mechanisms for agents to discover, evaluate, and interact with each other. This implementation shows how to build an open agent economy with pluggable trust models.

Type of change

• New feature (non-breaking change which adds functionality)
• Bug fix (non-breaking change which fixes an issue)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

• Unit tests: pytest test_trustless_agents.py -v — all 14 tests pass
• Manual testing:
  • Started server with ./run.sh
  • Verified frontend loads at http://localhost:5002
  • Registered multiple agents with different types and capabilities
  • Tested agent discovery with various filters (type, capability, reputation)
  • Submitted reputation feedback and verified scoring calculations
  • Created validation requests for agents
  • Recorded agent-to-agent interactions
  • Verified agent profile retrieval with complete information
• Integration testing:
  • Tested MCP tool integration (register_agent_identity, discover_agents, submit_reputation_feedback, request_validation, record_agent_interaction, get_agent_profile)
  • Verified virtual environment setup and dependency installation
  • Confirmed reputation score calculation works correctly
  • Tested agent ID uniqueness with counter-based generation to prevent collisions
  • Verified error handling for invalid agent IDs, ratings, and interactions

Test coverage includes:

• Agent registration and identity management
• Agent discovery with filtering
• Reputation feedback submission and scoring
• Validation request creation
• Agent interaction logging
• Complete agent profile retrieval
• Error handling for edge cases

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

Additional Notes

• Implements EIP-8004 Trustless Agents standard with all three registries (Identity, Reputation, Validation)
• Demonstrates agent discovery and trust establishment mechanisms
• Includes interactive frontend with tabbed interface for different operations
• Full MCP protocol support for AI agent integration
• Comprehensive README with demo examples and usage instructions
• Virtual environment setup script for easy deployment
• All dependencies documented in requirements.txt
• Fixed agent ID uniqueness issue using counter-based generation to prevent collisions
• Supports pluggable trust models with security proportional to value at risk

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