This repository extends the Open Manus project with PocketFlow(https://github.com/The-Pocket-World/Pocket-Flow-Framework) integration for orchestrating complex agent workflows.
- PocketFlow Integration: Lightweight workflow orchestration with Open Manus agents
- Bidirectional Adapters: Use Open Manus tools/agents as PocketFlow nodes and vice versa
- Workflow Orchestration: Multi-agent workflows with structured control flow
- Hybrid Planning: Combine planning and execution agents flexibly
pip install pocketflow_framework- Clone the repository:
git clone https://github.com/The-Pocket-World/PocketManus.git
cd PocketManus- Install dependencies and PocketFlow:
pip install -r requirements.txt
pip install pocketflow_framework- Set up your configuration file:
cp config/config.example.toml config/config.tomlEdit config/config.toml with your API keys and settings:
# Global LLM configuration
[llm]
model = "gpt-4o" # The LLM model to use
base_url = "https://api.openai.com/v1" # API endpoint URL
api_key = "YOUR_API_KEY" # Your API key
max_tokens = 4096 # Maximum number of tokens in the response
temperature = 0.0 # Controls randomness
# Optional configuration for specific LLM models
[llm.vision]
model = "gpt-4o" # The vision model to use
base_url = "https://api.openai.com/v1" # API endpoint URL for vision model
api_key = "YOUR_API_KEY" # Your API key for vision model
# Add PocketFlow specific configuration
[pocketflow]
log_level = "INFO"# Multi-agent workflow
python run_fixed_pocketflow.py --workflow multi_agent --task "Create a Python script that analyzes stock data"
# Planning workflow with parallel execution
python run_fixed_pocketflow.py --workflow planning_parallel --task "Research and summarize the latest AI trends"
# RAG workflow
python run_fixed_pocketflow.py --workflow rag --query "How does transformer architecture work?" --documents documents.jsonSee example applications in the examples/ directory.
from app.pocketflow.fixed_orchestrator import WorkflowOrchestrator
from app.agent.planning import PlanningAgent
from app.agent.react import ReactAgent
# Create and register agents
orchestrator = WorkflowOrchestrator()
orchestrator.register_agent(PlanningAgent(), "planner")
orchestrator.register_agent(ReactAgent(), "executor")
# Create and run workflow
workflow = orchestrator.create_agent_workflow(
agents=["planner", "executor"],
flow_name="CustomWorkflow"
)
result = orchestrator.run_workflow(
workflow_name="CustomWorkflow",
inputs={"task": "Your task here"}
)- Adapters: Bridge between PocketFlow and Open Manus components
- Orchestrator: Manages workflows and provides a unified interface
- Flow Factory: Creates PocketFlow-based flows with agent, planning, and hybrid patterns
PocketFlow is a lightweight workflow orchestration system for AI agent workflows with:
- Node-based architecture for workflows
- Support for sequential, parallel, and conditional flows
- Easy integration with existing systems
The framework uses nodes (computation units), edges (connections), and flows (complete workflows) to enable flexible agent orchestration patterns.
Thanks to the OpenManus team for their innovative agent architecture.
This project is licensed under the terms specified in the LICENSE file.