--- title: "Hermes vs OpenClaw: Which AI Agent Framework to Pick?" description: "Hermes or OpenClaw? Both run 24/7 on AgentRoost with AI credits included. This guide explains the real differences so you pick the right one first time." canonical: https://agentroost.app/en/blog/hermes-vs-openclaw-which-ai-agent date: 2026-05-30T12:00:00Z --- [Canonical URL](https://agentroost.app/en/blog/hermes-vs-openclaw-which-ai-agent) When you land on AgentRoost's agent picker, you'll see two options for a personal AI assistant: **Hermes** and **OpenClaw**. Both give you a private, always-on AI you talk to through a Telegram bot. Both include AI/LLM credits — no API key to paste anywhere. Both go live in about two minutes. So which one do you actually want? This guide cuts through the overlap and explains the real differences, the trade-offs, and which use case belongs to each. --- ## What they have in common Before the comparison, let's clear the air on what's identical: - **One-click provisioning** on AgentRoost — name your agent, hit launch, get a Telegram bot to `/start` - **Always-on** — the agent runs continuously on dedicated EU hardware, not a serverless cold-start - **AI credits included** — the LLM calls are paid for inside the subscription; you choose from 350+ models and switch anytime, no BYOK - **Conversation state persists** — both remember what you talked about; they're not stateless chatbots - **$19.99/mo all-in** — same entry price, same monthly billing, same 14-day money-back guarantee, cancel anytime - **Framework is fixed per agent** — you pick at creation time; to switch frameworks you create a new agent The differences come down to *architecture philosophy*, *depth of tooling*, and *what kind of tasks each handles best*. --- ## Hermes Hermes is AgentRoost's **proven default assistant framework**. It's built around a persistent context loop: the agent actively maintains a long-running memory of your conversations, tracks context across days and weeks, and can execute scheduled tasks without you having to ask twice. **Key strengths:** - **Deep memory** — Hermes stores and retrieves prior context explicitly. Ask it to remember a project brief on Monday and reference it on Friday; it will. - **Connector tooling** — built-in integrations for common tasks: web search, reading URLs, processing files you forward through Telegram - **Scheduled task execution** — tell it to "check this price every morning at 9:00 and alert me if it drops below X"; it runs the job, not you - **Inbox/notification assistant** — works well as a monitoring relay: summarise a feed, watch an endpoint, report a status - **Research helpers** — good at iterative research tasks where you need to keep refining a question over multiple turns Hermes is the right choice when you want an assistant that **builds up knowledge about your context over time** and **acts on a schedule** rather than just responding when prompted. **Typical Hermes users:** founders who want a briefing bot, developers who need a monitoring assistant, analysts who want a daily research digest. --- ## OpenClaw OpenClaw is an **open-source, hardened-for-hosting personal AI assistant**. Where Hermes is optimised for depth of context and tooling, OpenClaw is optimised for **reliability, conversation clarity, and file state persistence**. **Key strengths:** - **Persistent conversation + file state** — everything you share (files, snippets, context blobs) is stored per session and carried forward - **Clean hardened runtime** — purpose-built for the AgentRoost hosting environment; no extraneous moving parts that can drift - **Private Telegram bot** — same provisioning as Hermes: one `/start`, your bot, nobody else's - **Straightforward Q&A and task loop** — if your workflow is "ask a question, get an answer, iterate", OpenClaw's interaction model is lean and direct OpenClaw is the right choice when you want **a reliable, no-fuss personal assistant** — something that holds your files and conversation state, answers questions well, and doesn't need a complex scheduler or deep cross-session memory architecture. **Typical OpenClaw users:** people new to AI agents who want to just start chatting, writers or researchers who share documents and iterate, anyone who wants a private Telegram assistant without the overhead of a full memory system. --- ## Side-by-side comparison | Feature | Hermes | OpenClaw | |---|---|---| | Persistent long-term memory | Deep, explicit memory store | Conversation + file state per session | | Scheduled tasks | Yes — built-in scheduler | No built-in scheduler | | Web search / URL reading | Yes | No (chat + file focused) | | File state persistence | Yes | Yes | | Telegram bot | Auto-provisioned | Auto-provisioned | | AI credits included | Yes | Yes | | Models available | 350+ (switch anytime) | 350+ (switch anytime) | | Complexity | Higher — more moving parts | Lower — lean runtime | | Best for | Monitoring, research, scheduling | Personal assistant, Q&A, file tasks | | Price (entry) | $19.99/mo | $19.99/mo | --- ## The "pick X if…" decision guide **Pick Hermes if:** - You want the agent to remember things across multiple sessions without you re-explaining context - You need it to run jobs on a schedule (daily summaries, price checks, status pings) - You're building an inbox assistant or notification relay - You want connector tooling (web search, URL fetching) without wiring it yourself **Pick OpenClaw if:** - You want to start a conversation and have your files and context right there, without setting up a memory architecture - Your use case is iterative Q&A, document drafting, or research where you paste material in and work through it - You prefer a leaner, more predictable runtime - You're new to AI agents and want to start simple **Not sure?** Start with OpenClaw. It's the more approachable entry point. You can always launch a second agent on Hermes later — both run in parallel on your account. --- ## A note on the AI credits Every competitor in this space — n8n Cloud, Zapier, Make, Elestio, Sliplane, Hostinger — requires you to bring your own API key. That means signing up with OpenAI or Anthropic separately, managing billing in two places, and hitting a surprise invoice when a workflow loops unexpectedly. On AgentRoost, **the AI credits are inside the subscription**. Whether you pick Hermes or OpenClaw, the LLM calls work out of the box on day one. Plus and Pro tiers include more compute and more credits as your usage grows, but either way there's nothing to wire up. --- ## How to get started on AgentRoost Both frameworks follow the same provisioning path: 1. [Sign up](/en/agents) — email/password, or Google, Microsoft, or Discord OAuth 2. On the agent creation screen, pick **Hermes** or **OpenClaw** 3. Give your agent a name 4. Open the AgentRoost manager bot on Telegram and `/start` your new agent 5. Your private bot is live — AI credits already attached Total time from checkout to first conversation: about 2 minutes. No Docker, no SSL setup, no API key to paste. [Compare plans and pricing](/en/pricing) — starts at $19.99/mo, 14-day money-back guarantee, cancel anytime. Or go straight to the framework pages: [Hermes](/en/agents/hermes) · [OpenClaw](/en/agents/openclaw) --- ## The honest verdict There's no universally "better" framework. Hermes wins on depth — memory, scheduling, connectors. OpenClaw wins on simplicity and predictability. The good news: you're not making a permanent decision. Both live at the same price, and you can run one of each if your needs split across both use cases. Pick based on what you actually need on day one. The rest you can figure out once the bot is talking back to you.