OpenClaw vs NanoClaw vs Hermes

The one-line version

• OpenClaw — maximal. The most coverage, the most channels, the biggest community, the most to operate.
• NanoClaw — minimal. Small enough to read, isolation-first, less surface area in every sense.
• Hermes — self-improving. Built around memory and skills it writes for itself from experience.

They are all MIT-or-similar open projects you host yourself, they all connect to messaging platforms, and they all work with whichever model provider you prefer. Past that they diverge sharply.

OpenClaw: coverage and community

Published in November 2025 as Clawdbot and renamed in January 2026, OpenClaw became one of the fastest-growing open-source projects on record — past 250,000 GitHub stars in roughly sixty days. It runs as a persistent daemon with a heartbeat and scheduled tasks, and it supports over twenty messaging channels out of the box.

Optimises for: breadth. If you want a channel or an integration, it probably exists.

Costs you: surface area. More features mean more configuration, more to keep current, and more that can break. Typical guidance is a 2 vCPU / 4 GB VPS, rising to 8 GB if you want browser automation.

Pick it if: you want maximum capability, you are comfortable operating software, and the enormous community around it is worth more to you than a support contract.

NanoClaw: auditability and isolation

A deliberate reduction of the same idea: small enough that a person can read the entire source (around 35,000 tokens), architected around per-agent isolation, and aimed at ordinary office workers rather than only developers. It has moved quickly — past 20,000 stars and 100,000 downloads, a $12M seed round in May 2026, and a Docker integration that runs agents inside MicroVM sandboxes with one command.

Optimises for: trustworthiness through legibility. You can verify what it does rather than trusting that someone else did.

Costs you: breadth. Less is genuinely less; you will hit edges OpenClaw does not have.

Pick it if: auditability matters to your sector or temperament, you want strong isolation between agents, and you would rather have a smaller thing you understand.

Hermes: learning

Released by Nous Research in February 2026, Hermes runs as a persistent daemon on your infrastructure and is built around a learning loop: it accumulates memory across sessions, creates skills from experience and refines them in use, searches its own past conversations, and builds a model of the person it works for. It runs cron tasks, connects to 16+ messaging platforms, and will sit on a $5 VPS, a GPU cluster, or serverless infrastructure.

Optimises for: getting better the longer it runs. Alone in this trio, its central claim is about improvement rather than capability or size.

Costs you: predictability. A system that rewrites its own skills is a system whose behaviour changes without a release, which is the whole point and also the risk — see the safeguards.

Pick it if: the re-explanation tax is your main frustration and you want something that accumulates.

What all three share

Worth saying clearly, because it is the thing a business buyer tends to discover late. All three are harnesses you operate. None comes with someone accountable when it stops, an approval workflow designed for a team, an immutable audit trail as a product surface, or a coordination model for several agents with distinct jobs and permissions between them.

That is not a criticism — they are not trying to be those things, and for an individual user none of it matters. It becomes the deciding factor when the agent is doing work a company has to answer for.

How to choose

Four questions, in order:

1. Who operates this? If the honest answer is nobody, none of the three is your answer and you want something managed.
2. Do you need to read the code? Yes points at NanoClaw.
3. Is coverage or accumulation your constraint? Coverage points at OpenClaw, accumulation at Hermes.
4. Is this personal or organisational? Personal use makes the governance gap irrelevant. Organisational use makes it the main thing.

Where we fit, stated once

Olano is the fourth answer to question one: a managed deployment where the environment, channels, connections, approvals, audit trail and multi-agent org chart are already running, per deployment rather than per seat. If you want to run your own harness, one of the three above is your answer and we would rather you pick the right one. The individual comparisons are OpenClaw, NanoClaw and Hermes; the running-cost reality of all three is here.

Competitor facts on this page were checked on 19 September 2026 against each project's own site, repository and published announcements. This market moves quickly — treat anything undated elsewhere with suspicion, including on our own pages, and verify current details with the vendor.