I will ai agent system with langgraph and claude


About this gig
I ship production AI agent systems from Lagos. Not chatbots agent stacks with state, memory, tool use, and human-in-the-loop. Built with LangGraph, Claude Sonnet, Guardrails AI, Qdrant, MCP, n8n.
Recent shipped:
Custom Python MCP server connecting Claude to a self-hosted n8n instance behind Cloudflare tunnels
Voice-locked content generation pipelines
Multi-agent CrewAI orchestration with HITL approval gates
What you get:
LangGraph state graph (typed state, checkpointer, observability via LangSmith)
Guardrails AI validators on every LLM call (PII detection, schema validation, hallucination)
Optional Qdrant RAG over your documents / knowledge base
Optional n8n integration so the agent fires from your existing workflows
Deployed to Vercel, Hetzner, or your infrastructure of choice
Full handoff: code, docs, runbook
I qualify before I build. Tell me what the agent must do, what it absolutely must NOT do, and what success looks like at week 4. If your answer carries weight we build.
Get to know Lawrence N
AI Orchestrator
- FromNigeria
- Member sinceJul 2024
Languages
English
FAQ
Why LangGraph and not OpenAI's Assistants API?
State persistence, time-travel debugging, multi-agent coordination, and production observability. The Assistants API is a black box; LangGraph is the gold standard for production agents in 2026.
Will it work with Claude Sonnet 4.5?
Yes. Native via langchain-anthropic. I run on Claude by default; OpenAI and Gemini are switchable.
Do you handle hosting?
Yes — Vercel, Hetzner VPS, or your existing infrastructure. Hosting cost is yours; I deploy and document
Do you sign an NDA?
Yes. Standard mutual NDA available on request.
What if my agent needs to do something risky (send emails, charge money)?
Guardrails AI + Human-in-the-Loop interrupt() means the agent pauses before irreversible actions and waits for your approval. Mandatory on Premium tier.

