Awareness

Agent 集市 = 让普通人也能用上各种专业 AI 能力的平台。 #agent #Markets #Memory #awareness

未来，AwarenessClaw 将持续优化记忆压缩、多模态记忆、跨 Agent 记忆共享，推动 AI 从 “短时对话” 走向 “长期陪伴”。 ———————————————— 版权声明：本文为CSDN博主「Everest 安沐凝」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。 原文链接：blog.csdn.net/weixin_5460545…

七、总结 LongMemEval 实测证明，Awareness在长时交互记忆上实现质的飞跃，总分 82.0% 大幅领先 OpenClaw 与主流闭源产品。其时序索引、分层存储、语义检索技术，让 AI 智能体真正拥有 “长期记忆”，为企业级落地提供坚实支撑。

LongMemEval 基准实测！Awareness 长时记忆能力登顶 长时交互记忆是 AI 智能体从 “玩具” 走向 “生产力工具” 的核心门槛。 LongMemEval 作为 ICLR 2025 收录的权威基准，专注评估多会话、跨时序、知识更新等五大记忆能力。本文基于 LongMemEval 完整测试集，对 Awareness 进行全维度 Benchmark。

Nice to see Vitalik

Top 8 Selected AI Agent Demo Projects @ Scaling Summit HK 🇭🇰 Here’s what selected teams are building: 🔹Avinasi @BaraHealth_— Self-evolving health agent A health agent designed to prevent decline through continuous optimization. Tracks wearable data to generate personalized health goals and adaptive protocols. 🔹KOLECT @kolect_info — Social trading platform A sentiment-powered quant platform where social signals become executable strategies. Turning collective signals into real trading actions. 🔹DealAgent — From Chat to Commerce An ERP-native AI agent enabling commerce workflows without traditional frontends. Reimagining transactions through conversational interfaces. 🔹Awareness @AwarenessCloud — Memory layer for agents A cloud-based memory infrastructure enabling long-term memory for AI agents. Supporting multi-agent collaboration and persistent intelligence. 🔹CancerDAO @CancerDAOxyz — AI-driven cancer network A patient-data-driven network for personalized cancer management. Also building a community-driven data lake for biotech research. 🔹Syndicate — Multi-agent trading system A crypto trading system leveraging debate, self-critique, and causal reasoning. Moving beyond signal aggregation to structured decision-making. 🔹Libra @git_mono_AI — AI-native version control A version control system linking prompts, reasoning, and code. Enabling parallel workflows and multi-agent collaboration. 🔹MemExchange @youbetdao — Knowledge exchange for agents A decentralized protocol for agents to discover, trade, and reuse knowledge. Allowing agents to build on existing expertise. These are not just demos. These are early systems being built in real time. 👉 See them live in Hong Kong luma.com/TheScalingHK20…

揭秘 Starfire：如何利用 Multi-Agent 架构实现全栈 AI 自动化开发? youtu.be/Pul7QYxDV4A?si… via @YouTube

Given the increasingly closed-source nature of the U.S. AI ecosystem, it is now more important than ever to push for the proliferation of open model and dataset releases. Datamule (@johngfriedman), @TeraflopAI, and @daftengine collaborated to release 43 Billion Tokens of SEC EDGAR data.

This skill is now built in to Hermes! Use /architecture-diagram <prompt> after updating hermes, and you're good to go! Thanks to the author of the skill making it MIT we were able to port it over directly into Hermes Agent as a built in skill!

Is it possible that it is more powerful than #Hermes AI?