M3-Agent: Revolutionizing Multimodal AI with Graph-Based Long-Term Memory

Seeing, Listening, Remembering, and Reasoning: A Practical Guide to the M3-Agent Multimodal Assistant with Long-Term Memory This post is based entirely on the open-source M3-Agent project released by ByteDance Seed. Every command, file path, and benchmark score is copied verbatim from the official repositories linked below. No outside knowledge has been added. TL;DR Problem: Most vision-language models forget what they saw in a video minutes later. Solution: M3-Agent keeps a graph-structured long-term memory that can be queried days later. Result: Up to 8.2 % higher accuracy than GPT-4o + Gemini-1.5-pro on long-video QA. Cost: Runs on a single 80 GB …