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Evoagentx Workflow

Bridge EvoAgentX (1000+ star open-source framework) with OpenClaw.

Rating
4.6 (437 reviews)
Downloads
605 downloads
Version
1.0.0

Overview

Bridge EvoAgentX (1000+ star open-source framework) with OpenClaw.

Complete Documentation

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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:

bash
# 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

bash
# 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:

python
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

python
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

python
# 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

python
# 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

Installation

Terminal bash 

openclaw install evoagentx-workflow
Copied!

💻Code Examples

python3 -c "import evoagentx; print(evoagentx.__version__)"

python3--c-import-evoagentx-printevoagentxversion.txt
### 1. Create a Basic Workflow

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

)

.txt
## 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
example.sh
# 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
example.sh
# Install EvoAgentX framework
pip install evoagentx

# Verify installation
python3 -c "import evoagentx; print(evoagentx.__version__)"
example.py
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
example.py
from evoagentx.evolution import EvolutionEngine

engine = EvolutionEngine()
optimized_workflow = await engine.evolve(
    workflow=MyWorkflow(),
    iterations=10,
    evaluation_criteria={"accuracy": 0.95}
)
example.py
# Start with basic research workflow
workflow = ResearchWorkflow()

# Evolve for better results
evolution = await workflow.evolve(
    dataset=research_queries,
    metric="comprehensiveness"
)
example.py
# EvoAgentX automatically selects optimal tools
workflow = AgentWorkflow(
    tools=["web_search", "browser", "file_io"],
    auto_select=True
)

Tags

#coding_agents-and-ides #workflow

Quick Info

Category Development
Model Claude 3.5
Complexity Advanced
Author kylechen26
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install evoagentx-workflow

Resources

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