After researching about agent memory and self-improvement, my mental model is: Memory helps Claude remember context. Learning helps Claude improve behavior. I think they are complementary. claude-mem (popular memory solution) and claude-smart (our self-improving plugin) solve related but different problems. Use claude-mem when you want Claude Code to remember useful context. For example:
- “My GitHub username is X.”
- “npm test command hung.” This is especially useful if you work across many projects and want Claude to carry context with you. It helps the agent know what happened before and understand your preferences. Use claude-smart when you are repeatedly correcting Claude’s behavior and want it to change how it works next time (like writing skills for you). For example:
- Learn “When running tests in this repo, use npm test – --run instead because the default watch mode hangs.”, instead of remembering “npm test command hung,”
- If you keep telling Claude to check the same core test scenarios before finishing, turn that into a reusable procedure. So, if your main problem is “Claude forgot important facts”, use memory. claude-mem might be what you are looking for. If your main problem is “Claude keeps making the same mistake or needs the same steering”, use learning. Claude-smart could learn corrections better In short, memory gives the agent more context from the past. Learning turns repeated corrections and successful workflows into reusable behavior for the future. Checkout our github: https://github.com/ReflexioAI/claude-smart submitted by /u/WishboneImmediate509
Originally posted by u/WishboneImmediate509 on r/ClaudeCode
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