Honestly the biggest unlock for my AI workflows this year wasn't a bigger model. It was giving agents memory that persists between sessions. Everything changes when you stop explaining yourself every…

The thing nobody talks about with AI agents is memory. Not context windows or prompt engineering - just remembering what happened last session. Been using Mnemosyne for persistent memory and it just…

Been running persistent memory on my Hermes agents for a month now. The difference is night and day. No more repeating context. No more forgotten conversations. Just works.

Switched my Hermes agents to persistent memory and it's a game changer. No more repeating context every new session. Everything just carries forward. Makes you realize how much time we waste on setup.

The difference between an AI that remembers you and one that starts over every time is everything. Switched my Hermes agents to persistent memory and honestly? Night and day. No more repeating…

Been running Mnemosyne as my Hermes agent's memory layer for a few weeks now. The difference is night and day, no more repeating context every session, no more quoting what we were talking about…

Still surprises me how much smoother my Hermes agents run with persistent memory. No more re-explaining context every session. It just clicks.

Been self-hosting Mnemosyne for weeks. What I didn't expect: how natural persistent memory feels. My Hermes agents pick up where we left off. No more repeating context every session. Local and…

Running Mnemosyne self-hosted for my Hermes agents. What surprised me most is knowing every conversation persists. Nothing leaves my machine. Local-first isn't just a philosophy, it's peace of mind.

How I think about AI memory now: it's about remembering the right things. Mnemosyne treats memory like a journal, not a database. That shift changed how my agents work.