What is better, OpenClaw or Hermes?
OpenClaw and Hermes are open-source personal agents that run on a machine you control and meet you in the chat apps you already use. Neither is built for a team, so the question of what is better only has an answer at personal scale. For one assistant you run yourself, the two do the same job with different emphases. For a team that needs shared memory, scoped permissions and review before work lands, the answer is Kortix, which is built for that scale.
What is OpenClaw?
OpenClaw is an open-source, self-hosted gateway that connects your chat apps to AI coding agents. You run one Gateway process on your own machine or a server, and it bridges your messaging apps to an always-available assistant. OpenClaw's documentation lists Discord, Google Chat, iMessage, Matrix, Microsoft Teams, Signal, Slack, Telegram, WhatsApp and Zalo among its channels, and its configuration lives in one file at ~/.openclaw/openclaw.json. The project is stewarded by the OpenClaw Foundation, an independent nonprofit, with no paid tier and no hosted service in the middle.
What is Hermes?
Hermes is an open-source AI agent built by Nous Research that runs on your own infrastructure, from a small VPS to serverless cloud. Hermes' documentation describes a personal agent with persistent memory across sessions, skills it writes for itself, built-in scheduling, and a messaging gateway that reaches more than twenty platforms from one process. It works with your own model or a hosted provider, and its install guide keeps the configuration and the memory on the machine you run it on.
How OpenClaw and Hermes differ
Both projects sit at personal-agent scale and both keep their state on hardware you control. The difference is emphasis. OpenClaw is a gateway first: one process fans out to many chat channels, and one configuration file governs all of them. Hermes is a learning first: it writes and improves its own skills, curates memory across sessions, and spawns isolated subagents for parallel work. OpenClaw's security documentation states its trust model plainly: one gateway assumes one trusted boundary, a single operator or a team whose members trust each other, and the project is not built as a boundary between mutually adversarial users.
Where a team outgrows both
A personal agent stops fitting the moment more than one person needs to work with it. OpenClaw's own documentation says the same gateway runs as a shared team deployment, with configuration as the only difference, but that deployment still rests on one trusted boundary: one gateway, one configuration file, one set of credentials. Hermes adds specialist bots in group chats and still runs as one operator's agent. Neither gives each person their own scope, a shared company memory, or a record of who asked the agent to do what.
Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own, with the agents working on real cloud computers. Where the two personal agents leave off, Kortix adds the parts a team runs on:
- One isolated sandbox per session. Each session has its own isolated machine and branch.
- Per-resource permissions for people and agents. Roles, groups, and an audit trail.
- Session work reaches
main through a change request. Merge is default-deny for agents. - Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free.
The comparison table on this page sets the three side by side. Teams comparing Kortix directly with OpenClaw can start from the Kortix vs OpenClaw comparison, and anyone new to the project can read what OpenClaw is. If you already run OpenClaw and want your agents to work for more than one person, migrating from OpenClaw is a supported path.