mem0 vs Memori for local agent memory?

Building out a few personal AI agents locally (running Ollama + Hermes) for things like market research, coding assistance, and general task automation. Nothing crazy, just personal productivity tools I want to with context and memory across sessions.

Deciding between mem0 and Memori and I wanted some first-hand or more experienced answers from anyone regarding:

\- How well does each actually work with local models?

\- For a single-user setup, is it worth it or would just using something like ChromaDB with rolling summaries be enough?

Just want something that gives my agents decent memory without having to remind it constantly. Still learning the ins and outs so go easy on me

Curious on what general consensus is and what your stack looks like if you run any of this :)