I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly.

Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why.

I built Memograph CLI as a debugging tool to analyze conversation transcripts and show:

- what the agent forgot

- where continuity broke

- contradictions and repeated context

- estimated token waste due to re-prompting

It works locally and supports plain text or JSON transcripts.

Example:

$ memograph

Output:

Cognitive Drift Score: 41/100

Forgotten preferences: 3

Token waste: 29%

Trust-breaking contradictions: 1

The goal isn’t to replace your agent framework, but to give developers visibility into memory failures.

Repo: https://github.com/memographAI/Memograph-CLI

Would love feedback, especially from people building agents in production.