Briefing
By early 2026, the open-source agent scene had stopped sprawling and settled into a real contest. Three projects pulled ahead, and each one answers the same question in a completely different way: where should an AI agent actually live in your day?
Hermes, from Nous Research, treats the agent itself as the main event. OpenClaw, which started life as Moltbot, treats messaging as the main event. And OpenHuman, from TinyHumans.ai, sits on your desktop and quietly hoovers up everything you do. None of them is "better" in the abstract. They are built for different people doing different jobs.
If you run a small Australian team and you are trying to work out which one is worth your time, the short version is this: the right pick depends almost entirely on where your work already happens. The rest of this article walks through how each one is built, what it costs, and where it can bite you.
One housekeeping note before we get into it. Star counts and token figures move fast, and a couple of the numbers doing the rounds online are out of date or inflated. Where that is the case, we have flagged it and pointed to the better source.
The three projects represent genuinely different bets. Hermes (about 22,000 GitHub stars in the figure originally circulated, though mid-2026 counts put it far higher, closer to 95,000), OpenClaw (345k GitHub stars, originally Moltbot), and OpenHuman (7.8k GitHub stars, TinyHumans.ai) each give a distinct answer to one question: how should an AI agent live in your workflow?
The Architectural Divergence
Brendan O'Leary put the split well. As he framed it, Hermes wraps a gateway around a learning brain, while OpenClaw wraps a brain around a messaging gateway. OpenHuman, for its part, wraps both around a layer of desktop context.
Hermes is agent-first. Its Python runtime is built around a self-improving learning loop, with a large set of built-in tools (the figure originally quoted was 40+, though later releases ship many more). Everything else, the messaging, the model routing, the memory, orbits that core. Nous Research built it to learn, not just to execute. Its Honcho dialectic user-modelling memory system keeps a running model of how you think and will push back on your assumptions. Self-hosting it on a VPS reportedly runs around $5 per month, which would make it the cheapest of the three, though that is a ballpark estimate rather than an official price.
OpenClaw is gateway-first. It began as a side project (first Clawdbot, then Moltbot) in late 2025 and broke through in January 2026 after a demo showed 50+ messaging channels running off a single Node.js runtime. (Some write-ups credit "Cole Steinberger" for that demo, but the creator is Peter Steinberger.) Discord, Telegram, Slack, WhatsApp, iMessage, Signal: all native. That openness has a cost, though. The ClawHub.ai marketplace lists well over 100 AgentSkills (in practice, the catalogue is far larger, with one security audit examining 2,857 of them), and a Koi Security audit found 341 of those skills were malicious. On top of that, CVE-2026-25253 (CVSS 8.8) exposed a command injection path through a malicious skill package. Steinberger joined OpenAI in February 2026 and moved the project to a non-profit foundation. Self-hosting is free; a managed tier on DigitalOcean is said to run about $24 per month, again as a rough estimate rather than a published figure.
OpenHuman is desktop-first. Its Tauri-based app (macOS DMG, Windows EXE) runs a local mascot that watches your screen, suggests inline autocomplete, sits in on Google Meet calls, and compresses everything into Memory Trees, an Obsidian-style Markdown wiki. The Neocortex local knowledge base handles up to 1 billion tokens. Version 0.53.43 shipped on 13 May 2026. A single subscription covers multi-model routing. It is the only one of the three built for pulling together your personal context rather than for team messaging or runtime purity.
Model Support and Token Volume
Hermes supports Nous Portal, OpenRouter (200+ models), z.ai/GLM, Kimi/Moonshot, MiniMax, and OpenAI. OpenHuman routes across several models under one subscription. On volume, the often-quoted figure of 20 trillion tokens processed by OpenClaw via OpenRouter looks roughly double the real number; all-time reporting from May 2026 puts it closer to 9.17 trillion. What is confirmed is that Hermes hit 224 billion daily tokens in May 2026, briefly passing OpenClaw's daily rate.
Community Sentiment
One figure that gets repeated is a May 2026 Reddit survey showing the community split roughly as: about 35% mainly on OpenClaw, 30% on Hermes, 20% running both, and 15% wary of Hermes over its Nous Research backing and data practices. We could not verify a formal survey with those exact numbers, so treat the breakdown as unconfirmed. The discussion is certainly real, though; one analysis worked through more than 1,300 Reddit comments comparing the two. The skeptics tend to lean toward OpenClaw's foundation governance or OpenHuman's local-first privacy.
Which One Should You Choose?
Go with Hermes if you want an agent that learns how you work and improves itself over time. Go with OpenClaw if your team practically lives in messaging apps and you need wide channel coverage (just budget for the security review the marketplace clearly warrants). Go with OpenHuman if you want a desktop companion that gathers your personal context across every app you touch. Plenty of senior engineers run all three: Hermes as the agent runtime, OpenClaw for team messaging, and OpenHuman for personal knowledge. That three-agent stack is the subject of article 12.