memra 0.2.2

Declarative framework for enterprise workflows with MCP integration - Client SDK

Memra SDK

A declarative orchestration framework for AI-powered business workflows. Think of it as "Kubernetes for business logic" where agents are the pods and departments are the deployments.

🚀 Team Setup

New team member? See the complete setup guide: TEAM_SETUP.md

This includes:

• Database setup (PostgreSQL + Docker)
• Local development environment
• Testing instructions
• Troubleshooting guide

Quick Start

from memra.sdk.models import Agent, Department, Tool

# Define your agents
data_extractor = Agent(
    role="Data Extraction Specialist",
    job="Extract and validate data",
    tools=[Tool(name="DataExtractor", hosted_by="memra")],
    input_keys=["input_data"],
    output_key="extracted_data"
)

# Create a department
dept = Department(
    name="Data Processing",
    mission="Process and validate data",
    agents=[data_extractor]
)

# Run the workflow
result = dept.run({"input_data": {...}})

Installation

pip install memra

API Access

Memra requires an API key to execute workflows on the hosted infrastructure.

Get Your API Key

Contact [e-mail] for API access.

Set Your API Key

# Set environment variable
export MEMRA_API_KEY="your-api-key-here"

# Or add to your shell profile for persistence
echo 'export MEMRA_API_KEY="your-api-key-here"' >> ~/.zshrc

Test Your Setup

python examples/accounts_payable_client.py

Architecture

The Memra platform consists of three main components:

• Memra SDK (this repository): Client library for building and executing workflows
• Memra Server: Hosted infrastructure for heavy AI processing tools
• MCP Bridge: Local execution environment for database operations

Tools are automatically routed between server and local execution based on their hosted_by configuration.

Documentation

Documentation is coming soon. For now, see the examples below and in the examples/ directory.

Example: Propane Delivery Workflow

See the examples/propane_delivery.py file for a complete example of how to use Memra to orchestrate a propane delivery workflow.

Contributing

We welcome contributions! Please see our contributing guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Repository Structure

├── examples/                       # Example workflows and use cases
│   ├── accounts_payable_client.py  # API-based accounts payable workflow
│   ├── accounts_payable_mcp.py     # MCP-enabled accounts payable workflow
│   ├── invoice_processing.py       # Simple invoice processing example
│   └── propane_delivery.py         # Propane delivery domain example
├── memra/                          # Core SDK package
│   ├── __init__.py                 # Package initialization
│   ├── tool_registry.py            # Tool discovery and routing
│   └── sdk/                        # SDK components
│       ├── __init__.py
│       ├── client.py               # API client
│       ├── execution_engine.py     # Workflow execution
│       └── models.py               # Core data models
├── docs/                           # Documentation
├── tests/                          # Test suite
├── local/dependencies/             # Local development setup
└── scripts/                        # Utility scripts