开发者 @aijoey 用 MiniCPM5-2B 负责智能体决策与行动选择、Qwen 27B 将想法转为对话与可执行行为,搭建了本地多智能体虚拟小镇 Whisper Town,8 位 AI 居民拥有独立长期记忆,可自主设定目标、发起项目、协作或退出,并从失败中调整后续决策。运行中已累积 7000+ 条记忆,全部推理在两台 NVIDIA DGX Spark 上本地完成。
🏘️ What happens when AI agents get their own goals, memories, and a town to live in?
Developer @aijoey built Whisper Town, a local multi-agent virtual town where 8 AI residents set their own goals, make decisions, and learn from what happens around them.
🧠 MiniCPM5-2B handles agent decision-making and action selection, while Qwen 27B turns their thoughts into dialogue and executable behaviors.
✨ Highlights:
🤖 8 autonomous AI residents with independent long-term memory
🧩 Agents can start projects, collaborate, share information, or walk away
🔄 Residents learn from failures and adapt their future decisions
💾 7,000+ memories accumulated through ongoing interactions
⚡ Fully local inference running on two NVIDIA DGX Spark systems
A great example of what developers can build with MiniCPM5-2B. ⚡
🔗 Explore Whisper Town: https://t.co/BB5IBeyFCi
🤗 Model: https://t.co/FZOMTZhBjq
Give MiniCPM5-2B a try and build your own agentic applications! 🚀
来源:@OpenBMB · x.com