agents that remember you between sessions, which setups actually do this well?

Reddit r/AI_Agents News

Summary

Discusses the challenge of persistent memory for personal AI agents across sessions, comparing setups like Custom GPTs, Mem, and Open Campus's shared memory approach, and asks for community recommendations on handling memory conflicts.

the single biggest friction i hit building personal agents is memory. every new session i'm re-pasting the same context, my background, my projects, my preferences, before the thing can do anything useful. it kills the whole point of automating. i've been collecting setups that actually persist context well and wanted to compare notes. custom gpts with the memory feature are fine for light stuff but forget the moment you hit the context limit. mem and similar note tools store everything but don't really act on it. the most interesting one i've tried is open campus's agents setup, where a handful of small agents share one persistent memory layer instead of each holding its own, so the resume agent and the planning agent both already know my history. it's built on the animoca minds framework if you want to look at the architecture. none of these are perfect. shared memory is great until two agents disagree about what's true and you have no way to reconcile it. so the question, what are you using for persistent cross session memory, and how are you handling conflicts when two agents hold different versions of the same fact?
Original Article

Similar Articles

Agentmemory

Product Hunt

Agentmemory offers persistent memory for AI models such as Codex, Hermes, OpenClaw, and Claude, allowing them to maintain long-term context across interactions.