I will develop a scalable ai agent system with langgraph crewai and openai
About this gig
Are you looking to build a powerful AI agent system that automates complex workflows and takes actions autonomously?
I specialize in developing production-grade AI agent systems using LangGraph, CrewAI, and OpenAI the most advanced multi-agent orchestration frameworks.
WHAT I BUILD:
- Single and multi-agent systems with LangGraph state machines
- CrewAI crews with specialized roles and task delegation
- OpenAI Agents API with custom tool integrations
- Autonomous agents with memory, planning, and execution loops
- Human-in-the-loop workflows and agent monitoring
TECHNICAL STACK:
- LangGraph for stateful workflows and branching logic
- CrewAI for collaborative multi-agent task execution
- GPT-4, Claude, and Gemini as AI reasoning engines
- Tool integrations: APIs, databases, web search, code execution
- Python + FastAPI or NestJS deployment-ready backend
- Vector stores: Pinecone, Weaviate, ChromaDB for memory
WHY CHOOSE ME:
- 5+ years building AI and software systems
- Deep expertise in LangGraph, CrewAI, and OpenAI
- Production-ready code with tests, docs, and deployment
- Clear communication and on-time delivery
Order now and let's build your AI agent system!
Get to know Youssef Ben Jaa
AI SaaS MVP Developer, GPT4, Claude API, Gemini, NextJS and NestJS
- FromUnited States
- Member sinceMar 2023
- Avg. response time1 hour
Languages
English
Other AI Development Services I Offer
FAQ
What frameworks do you use to build AI agents?
I use LangGraph for stateful multi-step agent workflows, CrewAI for collaborative multi-agent systems, and the OpenAI Agents API for function-calling and tool-use agents. The choice depends on your specific use case.
Can the AI agents integrate with my existing systems?
Yes! I build agents with custom tool integrations for REST APIs, databases, web scraping, code execution, and third-party services. Agents can read/write data to your existing infrastructure.
What AI models do you support?
I work with OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models via LangChain. I can set up model routing and fallback strategies as needed.
How do you handle agent memory and context?
I implement short-term memory (conversation buffers), long-term memory (vector stores like Pinecone or ChromaDB), and entity memory for tracking important facts across sessions.
Do you provide deployment and documentation?
Yes, every project includes full deployment to your preferred cloud (AWS, GCP, Azure, or Railway), documentation, and a handover session to ensure you can manage and extend the system.
