Add Persistent Memory to Your AI Agent in 5 Minutes

Your AI forgets everything. Every conversation starts from scratch. Every preference explained again. Every context rebuilt. What if it didn't have to? The Problem I've been building AI agents for the past year, and the biggest limitation isn't the model—it's the amnesia. Context windows are just short-term memory. When the conversation ends, everything disappears. Sure, you can stuff conversation history into the prompt. But that burns tokens, hits context limits, and doesn't scale. The Solution: Semantic Memory I built Remembra to solve this. It's an open-source memory layer that gives your AI persistent, semantic memory. Here's what "semantic" means: instead of storing raw text, it understands meaning . Ask "what does the user prefer?" and it retrieves relevant memories even if you never used the word "prefer." Quick Start (Actually 5 Minutes) 1. Run Remembra (One Command) docker run -d -p 8080:8080 remembra/remembra:latest That's it. No database setup. No configuration. Just works.