How to Build a Multi-Agent Team in Hermes
How to Build a Multi-Agent Team in Hermes
Source: https://x.com/neoaiforecast/status/2043455838459920718?s=52
Most people start with one AI assistant and try to turn it into everything. Researcher. Writer. Coder. Project manager. Operator. It works… for a while.
Then things get blurry.
The personalities mix. The memory feels cluttered. Answers lose their sharpness. If you’ve ever felt that subtle frustration, like your AI used to feel “clearer”, you’re not imagining it.
In the shared post above, the author explains a smarter approach inside Hermes: build a team instead of overloading a generalist.
Hermes profiles aren’t just cosmetic name changes. They create isolated agent environments with separate memory, sessions, configuration, skills, and even cron and gateway state. That isolation is the key. It’s like giving each role its own office instead of forcing everyone to shout across the same desk.
The mental shift is simple but powerful. Stop thinking, “I need one genius AI.” Start thinking, “I need a small team with clear roles and clean handoffs.”
A practical structure shared in the post looks like this:
Hermes as orchestrator, planning and synthesizing
Alan as research specialist, focused on evidence and validation
Mira as writer, shaping ideas into clear communication
Turing as engineer, building and debugging with precision
It mirrors real-world work. Strategy. Research. Communication. Implementation.
What makes it durable is how Hermes uses SOUL.md to define each agent’s identity, while AGENTS.md holds shared project context. Identity stays stable. Context evolves. That separation keeps things clean over time.
If you’ve been feeling like your AI setup is getting noisy, this multi-agent model might be the upgrade you didn’t know you needed. Start small. One orchestrator. One specialist. Prove the handoff.
Over time, it stops feeling like a chatbot.
It starts feeling like infrastructure.



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