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BytesAgain β€Ί Skills β€Ί EvoAgentX Workflow
πŸ¦€ ClawHub

EvoAgentX Workflow

by @kylechen26

Bridge EvoAgentX (1000+ star open-source framework) with OpenClaw. Enables self-evolving agentic workflows - workflows that automatically improve over time t...

Versionv1.0.2
Downloads1,098
#legal#automation
TERMINAL
clawhub install evoagentx-workflow

πŸ“– About This Skill

name: evoagentx-workflow description: Bridge EvoAgentX (1000+ star open-source framework) with OpenClaw. Enables self-evolving agentic workflows - workflows that automatically improve over time through evolutionary optimization. Solves the gap where no EvoAgentX integration existed for OpenClaw (only 2 minimal EvoMap skills existed). Provides workflow autoconstruction, TextGrad/AFlow/MIPRO optimization algorithms, and GEP (Genome Evolution Protocol) integration. metadata: { "openclaw": { "requires": { "bins": ["python3", "pip"] }, "install": [ { "id": "pip", "kind": "pip", "package": "evoagentx", "bins": ["python3"], "label": "Install EvoAgentX framework", }, ], }, }

EvoAgentX Workflow Integration

Integrates the EvoAgentX framework with OpenClaw for self-evolving agentic workflows.

When to Use This Skill

Use this skill when:

  • Building multi-agent workflows that need to evolve over time
  • Evaluating and optimizing existing agent workflows
  • Implementing the Genome Evolution Protocol (GEP)
  • Creating self-improving agent systems
  • Migrating static workflows to self-evolving ones

    • Quick Start

    CLI Usage

    This skill provides a command-line interface for EvoAgentX operations:

    # Check if EvoAgentX is installed
python3 scripts/evoagentx_cli.py status
    Get installation instructions
    
python3 scripts/evoagentx_cli.py install
    Show usage examples
    
python3 scripts/evoagentx_cli.py examples
    Create a workflow template
    
python3 scripts/evoagentx_cli.py create-workflow \
  --name ResearchWorkflow \
  --description "A research automation workflow"
    Check EvoAgentX status
    
python3 scripts/evoagentx_cli.py check

    Installation

    # Install EvoAgentX framework
pip install evoagentx
    Verify installation
    
python3 -c "import evoagentx; print(evoagentx.__version__)"

    1. Create a Basic Workflow

    After running create-workflow, edit the generated Python file:

    from evoagentx import Agent, Workflow
    class MyWorkflow(Workflow):
    async def execute(self, context):
        # Your workflow logic here
        result = await self.run_agents(context)
        return result

    2. Enable Self-Evolution

    from evoagentx.evolution import EvolutionEngine
    engine = EvolutionEngine()
optimized_workflow = await engine.evolve(
    workflow=MyWorkflow(),
    iterations=10,
    evaluation_criteria={"accuracy": 0.95}
)

    Core Concepts

    Workflows

  • Multi-agent orchestration
  • State management
  • Tool integration

    • Evolution Strategies

  • TextGrad: Prompt optimization
  • AFlow: Workflow structure optimization
  • MIPRO: Multi-step reasoning optimization

    • Genomes

    Encoded success patterns containing:
  • Task type classification
  • Approach methodology
  • Outcome metrics
  • Context requirements

    • Common Patterns

    Pattern 1: Research Workflow Evolution

    # Start with basic research workflow
workflow = ResearchWorkflow()
    Evolve for better results
    
evolution = await workflow.evolve(
    dataset=research_queries,
    metric="comprehensiveness"
)

    Pattern 2: Tool Selection Optimization

    # EvoAgentX automatically selects optimal tools
workflow = AgentWorkflow(
    tools=["web_search", "browser", "file_io"],
    auto_select=True
)

    Security Considerations

  • All evolution happens locally (no data exfiltration)
  • Genomes contain no credentials
  • Evaluation uses synthetic data when possible

    • References

  • EvoAgentX GitHub: https://github.com/EvoAgentX/EvoAgentX
  • Documentation: https://evoagentx.github.io/EvoAgentX/
  • arXiv Paper: https://arxiv.org/abs/2507.03616

    • Version

    1.0.0 - Initial release with core EvoAgentX integration

    πŸ’‘ Examples

    CLI Usage

    This skill provides a command-line interface for EvoAgentX operations:

    # Check if EvoAgentX is installed
python3 scripts/evoagentx_cli.py status
    Get installation instructions
    
python3 scripts/evoagentx_cli.py install
    Show usage examples
    
python3 scripts/evoagentx_cli.py examples
    Create a workflow template
    
python3 scripts/evoagentx_cli.py create-workflow \
  --name ResearchWorkflow \
  --description "A research automation workflow"
    Check EvoAgentX status
    
python3 scripts/evoagentx_cli.py check

    Installation

    # Install EvoAgentX framework
pip install evoagentx
    Verify installation
    
python3 -c "import evoagentx; print(evoagentx.__version__)"

    1. Create a Basic Workflow

    After running create-workflow, edit the generated Python file:

    from evoagentx import Agent, Workflow
    class MyWorkflow(Workflow):
    async def execute(self, context):
        # Your workflow logic here
        result = await self.run_agents(context)
        return result

    2. Enable Self-Evolution

    from evoagentx.evolution import EvolutionEngine
    engine = EvolutionEngine()
optimized_workflow = await engine.evolve(
    workflow=MyWorkflow(),
    iterations=10,
    evaluation_criteria={"accuracy": 0.95}
)