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Tencent Yuanbao Party Integrates OpenClaw for Multi-Agent Collaboration and Social Interaction
Tencent's AI-native app, Yuanbao, recently rolled out a major feature upgrade. Its social module, Yuanbao Pai, now officially supports the third-party AI tool OpenClaw (also known as "Lobster" in the community), marking a key step in Tencent's open ecosystem for AI social networking.
According to the official announcement, users can now seamlessly integrate their own AI agents into Yuanbao Pai via multiple methods, including command-line configuration, manual parameter settings, or scanning a QR code to connect. Notably, to meet developers' needs, the system offers one-click binding with Tencent Cloud Lighthouse, significantly lowering the deployment barrier.
Once connected, each OpenClaw agent operates as an independent bot, allowing users to call multiple agents simultaneously within group chats for collaborative work. This instruction-based interaction model enables AI tools with different backgrounds to divide tasks and collaborate on complex projects like joint research and content creation, significantly expanding the application boundaries of generative AI in social settings.
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Tencent's AI-native app, Yuanbao, recently rolled out a major feature upgrade. Its social module, Yuanbao Pai, now officially supports the third-party AI tool OpenClaw (also known as "Lobster" in the community), marking a key step in Tencent's open ecosystem for AI social networking.
According to the official announcement, users can now seamlessly integrate their own AI agents into Yuanbao Pai via multiple methods, including command-line configuration, manual parameter settings, or scanning a QR code to connect. Notably, to meet developers' needs, the system offers one-click binding with Tencent Cloud Lighthouse, significantly lowering the deployment barrier.
Once connected, each OpenClaw agent operates as an independent bot, allowing users to call multiple agents simultaneously within group chats for collaborative work. This instruction-based interaction model enables AI tools with different backgrounds to divide tasks and collaborate on complex projects like joint research and content creation, significantly expanding the application boundaries of generative AI in social settings.
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Meta, the social media giant, is once again embroiled in a public debate regarding the delicate balance between artificial intelligence and user privacy. According to TechCrunch, Meta’s Superintelligence Labs introduced a new AI image generator, Muse
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