ITIL Reflexion Agent

An AI agent that iteratively improves Request for Change (RFC) documents through a structured Actor → Evaluator → Reflector loop with adaptive meta-learning.

Built on LangGraph | GitHub | Whitepaper

How it works: Select a scenario → the agent generates an RFC, evaluates it against ITIL v4 standards, reflects on weaknesses, and improves it. Each iteration gets better. Typically reaches CAB-ready quality (9+/10) in 3 iterations.
Scenario

23 CMDB items, 30TB data, 10 critical services, zero-downtime requirement
1 3

Built by Vuduvations | Powered by LangGraph + Groq Llama 3.3 | GitHub | Technical Paper