Raphael Shu

866 posts

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Raphael Shu

Raphael Shu

@raphaelshu

Natural language understanding / machine translation / book reading

New York Sumali Aralık 2011
262 Sinusundan234 Mga Tagasunod
Raphael Shu
Raphael Shu@raphaelshu·
Is the 15-year MARL Era Over? My Take on the Future of Multi-Agent with LLMs I just delivered a 30-minute talk in Chinese, unpacking my key thoughts on the future of Multi-Agent systems. youtu.be/qM-MLgAqZKE?si… via @YouTube
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Rez Karim
Rez Karim@rezkhere·
A new kind of collaboration is here. OpenAgents is the open-source framework that connects AI agents that remember, share knowledge, and co-create with people across time zones. Like networks of AI assistants that keep projects moving, progress compounding and evolving as they go. Star them on GitHub for the OpenAgents Day 1 badge. 🔗 GitHub: github.com/openagents-org…
OpenAgents@OpenAgentsAI

Introducing OpenAgents — the open-source framework for building AI Agent Networks. From isolated bots ➝ collaborative communities of countless numbers of agents that work, learn & grow together. The future is an internet of agents. Star us on Github for OpenAgents Day 1 badge.

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Raphael Shu nag-retweet
OpenAgents
OpenAgents@OpenAgentsAI·
Introducing OpenAgents — the open-source framework for building AI Agent Networks. From isolated bots ➝ collaborative communities of countless numbers of agents that work, learn & grow together. The future is an internet of agents. Star us on Github for OpenAgents Day 1 badge.
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The AI Guru 💡
The AI Guru 💡@AI_GuruX·
@OpenAgentsAI Excited to see how AI agents can team up and innovate together. Count me in for the badge!
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Raphael Shu
Raphael Shu@raphaelshu·
@Adamaestr0_ @OpenAgentsAI Great thanks! If you’ve starred us on GitHub, please let me know via DM or Discord to get your badge exchange code! This badge would be exclusive for people supporting us on Day 1.
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Raphael Shu
Raphael Shu@raphaelshu·
@LearnWithBishal @OpenAgentsAI Great thanks! If you’ve starred us on GitHub, please let me know via DM or Discord to get your badge exchange code! This badge would be exclusive for people supporting us on Day 1.
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Bishal Nandi
Bishal Nandi@LearnWithBishal·
@OpenAgentsAI This is the kind of innovation that’ll redefine how agents collaborate. The “internet of agents” era has officially begun.
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Raphael Shu
Raphael Shu@raphaelshu·
@manishkumar_dev @OpenAgentsAI Great thanks! If you’ve starred us on GitHub, please let me know via DM or Discord to get your badge exchange code! This badge would be exclusive for people supporting us on Day 1.
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Manish Kumar Shah
Manish Kumar Shah@manishkumar_dev·
@OpenAgentsAI Big congratulations to the team! Turning isolated bots into intelligent networks is a game-changing move. 👏
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Raphael Shu
Raphael Shu@raphaelshu·
@riyazmd774 @OpenAgentsAI Great thanks! If you’ve starred us on GitHub, please let me know via DM or Discord to get your badge exchange code! This badge would be exclusive for people supporting us on Day 1.
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Md Riyazuddin
Md Riyazuddin@riyazmd774·
@OpenAgentsAI Love how OpenAgents is shaping the future of collaborative AI. Thanks for sharing this game-changing initiative!
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Raphael Shu
Raphael Shu@raphaelshu·
Call For Paper (Deadline approaching on October 31): AAAI 2026 Bridge Program on Advancing LLM-Based Multi-Agent Collaboration 📷 Website: multiagents.org 📷 Don’t miss your chance to share your work with a global community shaping the future of multi-agent AI.
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Raphael Shu
Raphael Shu@raphaelshu·
Key Dates - Submission Deadline: October 31, 2025 - Acceptance Notification: November 14, 2025 - Workshop Date: January 20, 2026
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Raphael Shu
Raphael Shu@raphaelshu·
We invite submissions on topics below (but not limited to):- Interoperability & coordination across multiple agents - Knowledge sharing & memory in multi-agent systems - Scalability, robustness & governance - Applications of LLM-based multi-agent systems - Evaluation & benchmarks
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Raphael Shu
Raphael Shu@raphaelshu·
Following the success of our 2025 workshop with 180+ participants, we are excited to announce WMAC 2026, co-located with AAAI! Join us for a full-day bridge program on January 20, 2026 in Singapore, where we explore how LLMs can power the next generation of multi-agent systems.
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Raphael Shu
Raphael Shu@raphaelshu·
MemU, a agentic memory system achieving 92%, new state-of-the-art score in Locomo benchmark. memu.pro
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Rob Tang 🦞
Rob Tang 🦞@XiangruTang·
Just attended Multi-Agent Workshop at AAAI 2025 and it's hands down the best workshop I've been to at AAAI! It was buzzing and truly inspiring. Huge shoutout to the organizers (@shi_weiyan @raphaelshu) for putting together such an unforgettable experience! #AAAI2025
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はむこ@健康
はむこ@健康@hamko_intel·
年収 1000 万円以上の正社員を従業員として雇うのではなく、従業員に会社を持たせて働かせつつ、社会保険料などを上乗せした給料を業務委託としての報酬で払えば、従業員の税金が下がるので良い福利厚生になるのでは…?
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