memra 0.2.3

Declarative framework for enterprise workflows with MCP integration - Client SDK

Memra SDK

The core Memra framework for building AI-powered business workflows.

Installation

pip install memra

Quick Start

from memra import Agent, Department, LLM, ExecutionEngine

# Define an agent
agent = Agent(
    role="Data Analyst",
    job="Analyze customer data",
    llm=LLM(model="llama-3.2-11b-vision-preview"),
    sops=["Load data", "Perform analysis", "Generate report"],
    output_key="analysis_result"
)

# Create a department
department = Department(
    name="Analytics",
    mission="Provide data insights",
    agents=[agent],
    workflow_order=["Data Analyst"]
)

# Execute the workflow
engine = ExecutionEngine()
result = engine.execute_department(department, {"data": "customer_data.csv"})

Core Components

Agent

An AI worker that performs specific tasks using LLMs and tools.

Department

A team of agents working together to accomplish a mission.

ExecutionEngine

Orchestrates the execution of departments and their workflows.

LLM

Configuration for language models used by agents.

Examples

See the examples/ directory for basic usage examples:

• simple_text_to_sql.py - Basic text-to-SQL conversion
• ask_questions.py - Simple question answering

Documentation

For detailed documentation, visit docs.memra.co

License

MIT License - see LICENSE file for details.