Hermes Desktop

The agent that grows with you

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Artificial Intelligence

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The agent that grows with you: An MIT-licensed local agent that accumulates knowledge over time is exactly the direction I'm rooting for. How does Hermes represent what it has "learned" — structured memory, embeddings, something else? The memory representation question is the one I find most interesting in this whole category.

I tried using the official download link on Nous website. It downloaded the wrong version. So for Intel Mac users. Use “hermes desktop” and you’re in 😊 works like a charm. And thanks Nous for being so gracious with the whole agent. Using it daily here in 🇿🇼🇿🇦

Curious where you see the boundary between an agent OS and a collection of specialized agents.

As more teams build dedicated coding, research, and workflow agents, do users seem to prefer one general agent coordinating everything or multiple agents with distinct responsibilities?

people on reddit are already hyped about this and I get why. an open source agent that actually remembers what it learned and gets better the longer you run it is not something you see every day. one thing I kept seeing people ask about though... if you already have hermes running on a server, is there a way to connect the desktop app to that without going through a full fresh setup? would love to just point it at an existing instance and go

Running a capable open-source agent natively on macOS, Windows, and Linux is a meaningful step. Browser-based agent wrappers have too much overhead for tasks that need low-latency local tool access. We've found persistent agent state across sessions to be one of the harder problems when building on top of LLMs. How does Hermes Desktop store and retrieve long-term memory without context window blowup as the agent accumulates history?

Yesterday, while configuring the Hermes agent on my dedicated server, I started wondering if there’s a desktop orchestration tool for managing multiple hermes agents running on different instances.

I tried Hermes Desktop, but it doesn’t seem to support that use case yet.

Has anyone found a good solution for this?

Most local agent setups collapse the moment you point them at a real codebase because the context window fills up and the tool calls start going sideways. Curious how Hermes handles repo-scale tasks where the relevant code is spread across a dozen files. Does it do any chunking or retrieval to stay under the limit, or does it lean on you to scope things down manually before handing off?