听听 Fireworks、Cognee、Wordware 怎么用低成本方法让智能体更靠谱，还有记忆和协作的实战方案。
Fireworks 的 yuan_sihan 介绍了通过开源智能体使用前沿模型作为审查器（reviewer）的方法，在不支付前沿模型全程推理成本的情况下达到更高输出质量。Cognee 的 KovacVeljko 探讨了智能体记忆中的事实消歧与信息检索问题。Wordware 的 mat_pichler 展示了智能体协作文件系统，实现任务协调与持久化。该活动由 Workato 主办，聚焦生产级智能体系统的实用挑战。
Last month we hosted an AI Nerd Meetup @Workato HQ featuring builders tackling the hardest problems...
Last month we hosted an AI Nerd Meetup @Workato HQ featuring builders tackling the hardest problems in agentic AI. Highlights: @yuan_sihan of Fireworks - how open-source agents can use a frontier model as a reviewer to hit much higher quality without paying frontier costs at every step. The research behind our latest post, "Frontier AI at a fraction of the cost": fireworks.ai/blog/frontier-… @KovacVeljko of @cognee_ - fact disambiguation and agent memory: how agents retain, retrieve, and use info over time, and why open-source memory infra matters in production. @mat_pichler of @wordware - collaborative filesystems for agents: how shared file and workspace layers help agents coordinate, persist work, and collaborate. Thanks to our speakers and Workato for hosting! Your browser does not support the video tag. 🔗 View on Twitter 💬 2 🔄 1 ❤️ 5 👀 541 📊 3 ⚡