An assistant that learns about you, or a framework for a product everyone else will use?
Hermes Agent, built by Nous Research, bills itself as "the agent that grows with you." Its core idea is a closed learning loop, agent-curated memory with periodic nudges, plus Honcho dialectic user modeling that builds a persistent picture of one person's preferences and working style over time. That's a genuinely different pitch from OpenClaw's completeness or ZeroClaw's footprint. openloops starts from a different premise entirely: not an assistant that learns about the person running it, but a framework for a product that other people, your customers, will each use with their own data, tools, and history.
Worth saying upfront: this isn't really two frameworks competing for the same job. It's a personal, self-improving assistant for one person, next to a framework for building a product many people will use.
The short version
- If you want an assistant that builds a persistent model of you specifically and improves from it, Hermes' closed learning loop and Honcho user modeling are built for exactly that.
- If you're building a product that different people will each use with their own data and tools, openloops scopes that per user from the start, something a single-installation memory model doesn't do.
- Hermes' MEMORY.md and USER.md model one person. There's no concept of separate, isolated memory for a second, third, or hundredth end-user inside the same installation.
Feature-by-feature
| Area | Openloops | Hermes Agent |
|---|---|---|
| Designed for | Multi-user, enterprise, and SaaS products, from the ground up | A single person's self-improving personal assistant, by design |
| Memory model | Chat history and context scoped per user, in MongoDB | A closed learning loop: agent-curated MEMORY.md and USER.md, plus Honcho user modeling, for one person |
| MCP support | Native, connected and scoped automatically per end-user | Native, built in, scoped to the single gateway installation |
| Skills | Growing marketplace of ready-to-use loops | A Skills Hub with a portable format; a skill written for Hermes also runs in tools like Claude Code or Cursor |
| Out-of-the-box experience | None; it's a framework, you build the agent and the product around it | A complete, ready-to-run assistant across Telegram, Discord, Slack, WhatsApp, Signal, and CLI |
| What you're actually building | A product other people will use | A single assistant that learns about and adapts to you specifically |
Where each one actually shines
Hermes' real strength: an agent that actually improves over time
Most personal-assistant tools call "memory" a feature that stores facts. Hermes treats it as a closed loop: agent-curated memory with periodic nudges, combined with Honcho's dialectic user modeling, building a persistent picture of how you work and what you prefer, not just a log of past messages. It's also explicitly built with a research angle, generating the kind of trajectory data Nous Research uses to train the next generation of tool-calling models, and its skills format is portable enough to also run in tools like Claude Code or Cursor. None of that is something openloops tries to replicate, because none of it is about serving more than one person.
Openloops' real strength: isolation per user, not a model of one user
Hermes runs as a single gateway process with one MEMORY.md and one USER.md. Honcho's user modeling is built to understand one person well, not to keep hundreds of end-users' preferences and data cleanly separated from each other. That's a reasonable design for a personal assistant, and a real limitation the moment you want a second person using the same installation with their own separate history and tools. openloops scopes that by default: every user gets their own chat history, their own MCP servers, and their own credentials, in the framework itself.
On MCP and memory specifically
Hermes' MCP support is genuinely built in, not bolted on, and its own documentation and community both treat memory as a first-class concern, probably more seriously than OpenClaw or ZeroClaw do. That makes it worth being precise here too: MCP connections and memory in Hermes both belong to the single installation. There's no built-in notion of a second end-user getting their own separate MCP servers or their own separate memory inside the same running Hermes instance, it's one gateway, one MEMORY.md, one USER.md.
Openloops
Each end-user of your product registers their own MCP servers and has their own credentials and chat history. openloops connects the right ones automatically per user, at the start of every turn.
Hermes Agent
MCP servers and memory belong to the one gateway installation. A second person using the same deployment shares the same MEMORY.md, USER.md, and connected tools.
Which one should you pick?
openloops was designed from the start for teams building enterprise and SaaS products, where different users each have their own data, tools, and credentials as the default case. Hermes was designed for one person who wants an assistant that genuinely learns about them over time. These are answers to different questions, not competing answers to the same one.
Reach for Hermes Agent if:
- You want a personal assistant that builds a real model of your preferences over time.
- You want to use or generate skills that are portable across tools like Claude Code or Cursor.
- You're the only person who will ever use this particular installation.
Reach for Openloops if:
- You're building a product more than one person or company will use.
- You need separate credentials, MCP servers, and history per end-user, not one shared MEMORY.md for everyone.
- You're writing the backend of a product, not configuring an assistant for yourself.
- You'd rather start from a pre-built loop than assemble a product's agent logic from zero, the same instinct behind picking a WordPress theme over hand-coding a site.
Bottom line
Hermes Agent does something genuinely different from the other personal assistants in this space: it treats memory and self-improvement as the whole point, not an add-on feature, and it backs that with real research infrastructure from Nous Research. But its architecture is still one gateway, one MEMORY.md, one USER.md, built to understand one person deeply, not to keep many people's data cleanly apart. openloops starts from that separation instead of arriving at it later: every user's credentials, MCP servers, and history are scoped from the open-source framework itself.
If what you want is an assistant that learns about you specifically, Hermes is built for exactly that, and openloops isn't trying to be it. If what you're building is a product other people will use, each with their own data and tools, that's what openloops is for.