Frameworks like AutoGen are used to build individual agents or agent teams, while OpenAgents is designed to connect countless such teams and individuals into a vast, dynamic, and scalable ecosystem.
Rather than "being thorough", others are likely to see it as "dubious incentives". Plugging that into your question seems to yield some rather obvious answers.
Thank you! That really means a lot. Making A2A work seamlessly was a key goal for us. We can't wait to see what kind of networks and collaborations people start building.
Hey, I still remember October 9th so well — that was the day we first went public with our project! I was so excited telling all my friends about it on social media. We'd been working towards this for months, getting everything ready.
Maybe this article can help you. It mentions the multi-agent research boom back in the 1990s. Later, reinforcement learning was incorporated, and by 2017, industrial-scale applications of multi-agent reinforcement learning were even achieved. Neural networks were eventually integrated too. But when LLMs arrived, they upended the entire paradigm. The article also breaks down the architecture of modern asynchronous multi-agent systems, using Microsoft's Magentic One as a key example.
https://medium.com/@openagents/the-end-of-a-15-year-marl-era...
