I will build advanced ai agents with memory and reasoning using langgraph


About this gig
Stop building rigid bots. Start deploying Intelligent Agents.
Most people use basic acyclic graphs (n8n/Make) that break at the first error. I specialize in AI Engineering using Python and LangGraph, creating agents that actually think, remember, and learn from mistakes.
Why choose my services?
- Cyclic Reasoning: My agents iterate until they solve the problem.
- Long-term Memory: Persistence across sessions for a truly human experience.
- Scalable Architecture: Built with professional Python standards.
What I can do for you:
- Human-like customer support agents.
- Complex business process automation.
- Custom AI Agents with tool-calling capabilities.
High-performance solutions deployed in as little as 3 business days. Let's build the future of your business with Cadence.
Get to know Valentino Ruffo
AI Engineer
- FromArgentina
- Member sinceJun 2020
- Avg. response time1 hour
Languages
English, Spanish
FAQ
What makes LangGraph better than n8n or Make.com?
Most automation tools use acyclic graphs (DAGs) which are rigid and linear. LangGraph allows for cyclic reasoning, meaning the agent can "loop back," recognize its own mistakes, and retry a task with a different approach until it succeeds. It's the difference between a bot that follows a script and
Do I need to provide my own API keys?
Yes, you will need to provide your own API keys (OpenAI, Anthropic, or others). This ensures you have 100% control over your data and billing without any hidden markups on token usage. I will guide you through the process of setting these up securely.
How does the "Long-term Memory" feature work?
Basic chatbots "forget" everything once the session ends. My agents use a persistence layer that allows them to remember user preferences, past interactions, and specific business context over weeks or months. This results in a truly human-like experience where the agent evolves as it interacts with
Can these agents be integrated with WhatsApp or my CRM?
Absolutely. Since I build these solutions using Python, I can connect your agents to almost any platform with an API. Whether you need the agent to live on WhatsApp (Meta API), Slack, or sync data directly into your CRM, I can build the custom bridge needed for your workflow.
Can you deploy the agent on my own server?
Yes. I am experienced in deploying professional environments using Docker and VPS (like AWS or Oracle Cloud). I can set up a robust, scalable infrastructure for your agent so it runs 24/7 with professional monitoring and SSL security.
