I’ve been testing a lot of AI agent setups recently and honestly most of them start feeling the same after a while. The first hour is usually impressive the demos look smooth, the workflows seem smart, and it feels like things are moving insanely fast in this space. But after actually trying to use some of these systems longer term, I keep running into the same issue over and over again memory and continuity still feel pretty rough. A few days ago I was scrolling through Product Hunt and noticed OpenHuman trending there, so I ended up trying it mostly out of curiosity. I expected another complicated setup with a bunch of moving parts but the experience actually felt a lot simpler than most of the agent frameworks I’ve tested recently. What stood out to me wasn’t even the agent part itself. It was the fact that conversations and context felt more persistent without me constantly rebuilding everything from scratch every session. I’ve played around with OpenClaw and Hermes agents before too, and while those are interesting technically they always felt more experimental than practical for how I personally use AI tools day to day. OpenHuman felt more focused on continuity and usability instead of just showing autonomous workflows in a demo video. Still early obviously, and I’m sure there’s a lot that still needs improvement but it’s one of the first AI agent tools in a while that actually made me think more seriously about where long-term AI memory is heading. submitted by /u/Apart-Ad-9952
Originally posted by u/Apart-Ad-9952 on r/ArtificialInteligence