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Multi-agent systems often require substantial coordination pipelines. Setups that achieve multi-agent collaboration with minimal orchestration point toward more accessible agent architectures.
The post is brief and centres on a video snippet without providing technical implementation details or underlying prompt architectures. Nevertheless, it demonstrates the practical application of Hermes models working as a cooperative team within the Blocks Buzz environment.
mr-r0b0t
@mr_r0b0t · 27 July 2026
3x @NousResearch Hermes Agents, collaborating in @blocks Buzz. No complex orchestration, just a team of agents working together to complete my request 😍 t.co/K0QT4TM5zT
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View on XSummary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Link:Nous Research
Nous Research has published a guide covering Bot Mode in Hermes Agent. The feature enables users to run isolated agent profiles as named, persistent bots that execute recurring routines, expand their own skills, and interact across more than 20 messaging platforms.
Article:hermes-agent.nousresearch.com
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Link:Nous Research
Nous Research has released Hermes Agent v0.21.0 under the MIT licence. The tool serves as an extensible AI agent available across multiple operating systems and messaging channels, featuring persistent memory and isolated execution sandboxes.
Repository:NousResearch/hermes-agent
Hermes Agent is a cross-platform, self-improving AI agent designed with an autonomous learning loop, cross-session memory, and integration into multiple messaging platforms and terminal interfaces.
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Article:hermes-agent.nousresearch.com
Hermes Agent has added Bot Mode to its desktop app, transforming configuration profiles into named, specialized bots with isolated memory, skills, and model settings. Bots operate in persistent canonical chats, run recurring automated routines, and can collaborate across multiple machines in group chats and direct messages.
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