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title: Nous Research adds multi-agent &quot;Bot Mode&quot; to Hermes Desktop
description: Nous Research has introduced a beta feature called Bot Mode for Hermes Desktop, enabling users to run multiple specialized AI agents rather than a single...
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# Nous Research adds multi-agent "Bot Mode" to Hermes Desktop

**[Collections](https://daily.dev/sources/collections)** · 2 min read · 3 upvotes · 0 comments

## Summary

Nous Research has introduced a beta feature called Bot Mode for Hermes Desktop, enabling users to run multiple specialized AI agents rather than a single assistant. Each bot has its own role, model, memory, skills, and profile picture, and different bots can use different underlying models. Bots communicate through a shared inbox, and cron jobs allow recurring automated tasks. The feature represents a shift from single-agent setups toward small teams of specialized bots, though it's beta software and real-world coordination challenges remain untested.

## Content

A handful of AI products have landed on the same basic idea at roughly the same time: instead of one chatbot, you get a roster of named bots with job titles, memories, and the ability to hand tasks to each other. Nous Research's Hermes Bot Mode, xAI's Grok Bot, Anthropic's Claude Tag, and wrapper projects like OpenClaw and ClawFleet all converge on this pattern. What's interesting — and a little concerning — is that each one draws the security boundary in a completely different place, and none of them have actually solved the hard problem underneath: giving an agent its own identity instead of just borrowing yours.

## The same interface, four different boundaries

**Grok Bot** isolates at the account level. Every bot on the machine shares the same browser sessions, files, and credentials. To its credit, xAI's own documentation is upfront about this, stating plainly that per-bot screens are "separate work surfaces, not separate security boundaries." That's a rare bit of honesty in this space, but it also means the biggest advantage of the system — one shared computer, one shared workspace — is simultaneously its biggest risk. If one bot gets compromised or goes off the rails, it has the run of everything the others can touch.

**Hermes Agent**, currently at v0.20.3, ships its Bot Mode teammate protocol on by default (it's MIT licensed and bundled right into the desktop app). Each bot gets its own profile directory — config, memory, credentials, chat history all separated. That's a step up from Grok Bot, but the isolation stops at the profile folder. All bots still share the host OS user and filesystem permissions, so the separation is more about tidiness than security.

According to the early coverage from testers, each Hermes bot has its own role, model, memory, skills, and even a profile picture, and bots can use different underlying models and message each other directly through a shared inbox. Custom profiles plus cron jobs let you build genuinely complex automated workflows — teams of bots working on a schedule without a human in the loop. It's the kind of feature that

## Questions this post answers

### What is Bot Mode in Hermes Desktop by Nous Research?

Bot Mode is a beta feature that lets users run multiple specialized AI agents instead of a single assistant. Each bot has its own role, model, memory, skills, and profile picture, and bots can mix different underlying models. They communicate through a shared inbox, and cron jobs support recurring automated tasks.

_Developers weighing multi-agent setups against single-agent workflows can track early takes like this on daily.dev._

## Community take

How the wider developer community reacted, aggregated from 1 discussion and 12 comments across x (as of 2026-08-24).

**TL;DR:** Reactions are mostly curious and cautiously positive about the shift to specialized, communicating bots, but several developers press on unresolved practicalities like memory isolation, coordination overhead, and conflict reconciliation.

**Sentiment:** 25% positive · 50% mixed · 25% skeptical

**The case for**

- Some see per-bot models, memory, and skills with inter-bot messaging as genuinely closer to a small team than a single assistant.
- One reply frames local multi-agent memory and communication as a real unlock for low-latency, decentralized coordination.

**The pushback**

- One commenter questions whether coordination overhead between many bots could exceed the effort of just doing the task yourself.
- Another asks how memory isolation actually works between bots, since that determines what 'communication' really means in practice.
- One raises the unresolved failure case of two bots both reporting a task done with conflicting results, and whether reconciliation is handled or left to the user.
- One quip suggests bots with persistent memory effectively introduce ongoing running costs, like software charging rent.

**By community**

- x (mixed): Replies range from lightweight enthusiasm to pointed questions about memory isolation, coordination overhead, and conflict handling between bots.

**Hottest debate:** Whether coordinating multiple specialized bots actually saves effort or introduces overhead and conflicts that offset the benefit.

**Open questions**

- How is memory isolation handled between bots—fully separate context or a shared workspace layer?
- Does Bot Mode surface conflicting task completions between bots, or is reconciliation left to the user?
- How will memory compaction be handled across many active bots running simultaneously?

**Highlights**

> @testingcatalog specialized bots each with their own setup is where this is all heading. the failure I keep hitting with multi-agent is two of them reporting done on work that conflicts and nobody noticing till you merge. does bot mode surface that or is reconciliation still on you
> — [thealexofori on x](https://x.com/thealexofori/status/2089471941467840951)

> @testingcatalog How's memory isolation handled between bots — fully separate per-bot context, or is there a shared workspace layer they can all read from? That changes a lot about what 'communicate with each other' actually means in practice
> — [moexperts on x](https://x.com/moexperts/status/2089460030873481703)

> @testingcatalog how many bots before the coordination overhead beats just doing the task yourself
> — [dimavollo on x · 1 points](https://x.com/dimavollo/status/2089456521830678531)

> @testingcatalog each bot gets its own model, memory, and skills, and they can message each other with attribution. that's genuinely closer to a small team than a single assistant
> — [AIishhy on x](https://x.com/AIishhy/status/2089468506106462450)

> @testingcatalog Bots with memory cost more to run than to build. It's the first time software charges rent
> — [TheAIShrink on x](https://x.com/TheAIShrink/status/2089456655448588792)

**Source threads**

- [x](https://x.com/testingcatalog/status/2089455631044669877) · 1 points · 12 comments

## Similar posts on daily.dev

- [OpenClaw and Hermes agree on what an agent is. They disagree on what controls it.](https://daily.dev/posts/openclaw-and-hermes-agree-on-what-an-agent-is-they-disagree-on-what-controls-it--y028ciemf) · The New Stack · 1 upvotes · 0 comments
- [OpenClaw vs. Hermes Agent: The race to build AI assistants that never forget](https://daily.dev/posts/openclaw-vs-hermes-agent-the-race-to-build-ai-assistants-that-never-forget-cardetze4) · The New Stack · 1 upvotes · 0 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents)

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