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πŸ“– The AI Tool Bible

Hermes Agent vs Hermes One

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline
Hermes Agent
Open-source multi-channel AI agent with persistent memory, scheduling, and subagent delegation from Nous Research.
Hermes One
Open-source desktop AI agent with a self-improving learning loop and multi-platform messaging connectors.
Pricing
Hermes Agent
FreemiumΒ· MIT-licensed self-host free; managed Portal tiers Free/Plus/Super/Ultra with credits
Hermes One
FreeΒ· Free, MIT-licensed; you pay your own model inference costs
Free trial
Hermes Agent
Yes
Hermes One
Yes
API
Hermes Agent
Yes
Hermes One
Yes
Platforms
Hermes Agent
macoswindowslinuxcliapi
Hermes One
cliapi
Open source
Hermes Agent
Yes
Hermes One
Yes Β· MIT
GitHub stars
Hermes Agent
β€”
Hermes One
250,054
checked 2026-09-29
Last GitHub push
Hermes Agent
β€”
Hermes One
2026-09-29
First commit
Hermes Agent
β€”
Hermes One
2025-07
Company
Hermes Agent
β€”
Hermes One
Nous Research
Model used
Hermes Agent
Multi-model (300+ via Nous Portal)
Hermes One
Multi-model (BYO via OpenRouter/OpenAI/Anthropic/Gemini/xAI/Ollama)
Best for
Hermes Agent
Pick Hermes Agent if you want one self-hostable, memory-persistent agent that follows you across every messaging app and can run scheduled, sandboxed jobs.
Hermes One
Pick Hermes One if you want a hackable, self-hosted agent that lives in your messaging apps and can teach itself new skills as it works.
Not for
Hermes Agent
Skip it if you just want a hosted ChatGPT-style web UI and have no interest in self-hosting, scripting, or wiring up messaging integrations.
Hermes One
Skip it if you want a polished hosted product with SSO, a billing dashboard, and a vendor-supported SLA out of the box.
Editorial score
Hermes Agent
8.2 / 10
Hermes One
7.2 / 10
Use cases
Hermes Agent
personal-assistanttask-automationmulti-channel-chatscheduled-jobssubagent-orchestration
Hermes One
autonomous-agentschat-opstask-automationresearch-agentspersonal-assistant
Pros
Hermes Agent
  • MIT-licensed and fully self-hostable
  • Works across Telegram, Discord, Slack, WhatsApp, Signal, email and CLI
  • Persistent memory plus auto-generated skills per project
  • Five execution backends with container and namespace isolation
  • Natural-language scheduling and subagent delegation built in
Hermes One
  • Genuinely open source under MIT with active GitHub traction
  • Self-improving skill loop sets it apart from static agent frameworks
  • Native connectors for Telegram, Discord, Slack, WhatsApp, Signal, CLI
  • Model-agnostic - works with cloud APIs and local Ollama/LM Studio
  • Parallel subagent spawning and durable memory built in
Cons
Hermes Agent
  • Early version (v0.17.0) so APIs and skills churn
  • Multi-backend setup is heavier than a single-channel chatbot
  • Managed Portal credits required for the easiest path to 300+ models
Hermes One
  • Self-hosted only - no managed offering, you run the desktop client
  • Research-grade tooling; expect rough edges and breaking changes
  • No bundled inference; you pay per-token to your chosen provider
  • Autonomous skill-writing agents need careful sandboxing
Website
Hermes One
hermesone.org

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) β€” not a user rating; β€œβ€”β€ means unscored. β€œNot listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Hermes Agent if
  • βœ… MIT-licensed and fully self-hostable
  • βœ… Works across Telegram, Discord, Slack, WhatsApp, Signal, email and CLI
  • βœ… Persistent memory plus auto-generated skills per project
  • βœ… Five execution backends with container and namespace isolation
Pick Hermes One if
  • βœ… Genuinely open source under MIT with active GitHub traction
  • βœ… Self-improving skill loop sets it apart from static agent frameworks
  • βœ… Native connectors for Telegram, Discord, Slack, WhatsApp, Signal, CLI
  • βœ… Model-agnostic - works with cloud APIs and local Ollama/LM Studio