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$
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I will build an ai agent or multi agent system with langgraph
Tanmoy
About this gig
Need an AI agent that actually runs tasks on its own, not just a chatbot?
I build autonomous AI agent systems using LangGraph and LiteLLM. These are multi-step pipelines where the agent receives a goal, selects tools, executes steps, handles errors, and delivers results without someone watching over it.
What I can build for you:
Single or multi-agent pipelines with LangGraph
Tool integration: APIs, databases, web search, custom functions
Memory and context management across long tasks
RAG systems with ChromaDB for knowledge-grounded agents
Full observability via LangSmith so you see every decision
Docker deployment and production-ready handoff
My process:
We scope the use case before I write a line of code
I build, test, and document everything
You get the source code, setup instructions + a walkthrough
Message me before ordering. Tell me what the agent needs to do, and I'll confirm feasibility within a few hours.
Get to know Tanmoy
Tanmoy
AI Agent Developer Full Stack Engineer
- FromBangladesh
- Member sinceDec 2019
- Last delivery6 years
Languages
Bengali, English
I build AI agent systems, full-stack web applications, and penetration testing tools that work in production—not just in demos.
My technical stack:
→ AI Agents: LangGraph, LiteLLM, ChromaDB, LangSmith, Reinforcement Learning
→ Full-Stack: Laravel, Next.js, React, PostgreSQL, Docker, Redis, Celery
→ Security: Web app pentesting, OWASP Top 10, threat intelligence, exploit systems
What I deliver is documented, tested, and explained — not dropped in a zip file with no context.
Message me before ordering for anything complex. I'll tell you honestly if it's a fit.
My Portfolio
FAQ
What exactly is a LangGraph AI agent?
LangGraph is a framework for building AI agents — programs that can plan multi-step tasks, use tools like APIs or databases, and make decisions without a human guiding each step. Think of it as a more powerful, controllable version of ChatGPT that can actually take actions in the real world.
What information do I need to provide before you start?
A clear description of what the agent needs to do: what inputs it receives, what tools or APIs it should use, and what a successful output looks like. You don't need to be technical—plain language is fine. I'll ask follow-up questions if needed.
Do I need an API key or LLM provider to use the agent?
Yes. The agent will use a language model like OpenAI's GPT-4 or Claude. You'll need an API key from your chosen provider. I can recommend which provider fits your budget and use case, but the key must be in your name for billing purposes.
What do I receive at the end of the project?
Full source code, a README with setup instructions, environment variable documentation, and a written explanation of how the agent works. Standard and Premium orders also include a recorded or live walkthrough so you understand what was built.
Can you integrate the agent with my existing app or system?
Yes, in most cases. I've integrated agents with REST APIs, PostgreSQL databases, custom Python backends, and web frontends. Message me with details about your current stack before ordering so I can confirm compatibility.
What if my project is more complex than the packages cover?
Message me before ordering and describe the scope. I'll put together a custom offer with the right timeline and price. I don't take on projects where I can't deliver what's promised — so the scoping conversation protects both of us.
Do you offer ongoing support after delivery?
The packages include revisions within the stated scope. For ongoing maintenance or feature additions, I'm open to a follow-on agreement — message me after delivery to discuss.
