How to add reputation scoring to your LangChain agent in 5 lines
python
dev.to
Your LangChain agent calls a research tool. The tool returns a confident answer. The answer is wrong. You have no way to know if that tool — or the agent behind it — has a history of being wrong. There's no track record, no score, no audit trail. You just trust it. That's the problem AgentRep solves. What it does AgentRep is a reputation protocol for AI agents. Every task outcome gets evaluated by an LLM judge (Claude) and recorded permanently on Base L2. The result is a public tru