An end-to-end, code-first tutorial resource covering every layer of production-grade GenAI agents, guiding you from prototype to enterprise with proven patterns and reusable blueprints for real-world deployments.
One-Minute Overview#
Agents Towards Production is your comprehensive hands-on resource for building production-grade Large Language Model (LLM) agent systems. Whether you're a developer aiming to build enterprise AI solutions or a researcher exploring practical applications, this project helps you transform AI agent concepts into deployable systems.
Getting Started#
Installation Difficulty: Medium - Requires Python knowledge and understanding of AI concepts, varies by tutorial
# Clone the repository
git clone https://github.com/NirDiamant/agents-towards-production.git
cd agents-towards-production
# Install dependencies for specific tutorials
cd tutorials/specific-tutorial
pip install -r requirements.txt
Core Capabilities#
1. Tool Integration - Breaking down barriers between AI agents and external systems#
- Secure integration with external tools like Gmail, Slack, Notion using OAuth2 authentication and human-in-the-loop safety controls
2. Dual Memory System - Building agents with "memory"#
- Implements short-term and long-term dual memory, semantic search, and persistent state management
3. Multi-agent Collaboration - Creating team-based AI workflows#
- Simulates collaborative agent workflows and message exchange through A2A protocols for interoperability
4. Security Framework - Protecting AI systems from attacks#
- Applies comprehensive input, output, and tool security measures including prompt injection and behavior alignment
5. Production Deployment - From concept to live operation#
- Provides Docker containerization, GPU scaling, FastAPI endpoints, and other deployment solutions