Comparison

APX vs Hermes Agent: A project crew or a self-improving assistant?

Both support memory, skills, delegation and scheduled work. The useful distinction is how you want to organize your day: a visible project crew in APX, or Hermes’ assistant and skill-learning workflow.

Sources checked October 30, 2026Sources

The short answer

Choose APX if…

You want an ongoing crew for your projects, with distinct roles, a shared task board and work you can follow in one place.
Agents hand off work; tasks keep their status, discussion and results.
Desktop app for macOS, Windows and Linux; Android app, web panel and terminal.
MIT. Model and service usage can have separate costs.

Choose Hermes Agent if…

You want an assistant built around creating and improving skills from experience, with a terminal, desktop app and messaging gateway.
A self-improving assistant with a built-in skill-learning loop.

At a glance

Scroll the table to compare both products.

APX vs Hermes Agent — At a glance
What matters	APX [1]	Hermes Agent [2]
Main focus	A team organized around projects, roles and tracked tasks.Source 1 ↗Source 2 ↗	A self-improving assistant with a built-in skill-learning loop.Source ↗
How you use it	Desktop app for macOS, Windows and Linux; Android app, web panel and terminal.Source 1 ↗Source 2 ↗Source 3 ↗	Terminal UI, desktop app and messaging gateway.Source ↗
Where work runs	Your computer or a server you control. Model providers receive the prompts you send.Source 1 ↗Source 2 ↗	The agent runs on your computer or a server. Commands can run locally, in Docker, over SSH or in sandboxes such as Modal and Daytona.Source ↗
Working together	Agents hand off work; tasks keep their status, discussion and results.Source 1 ↗Source 2 ↗	Can spawn isolated subagents for parallel work.Source ↗
Context over time	Persistent memory, project context and reusable skills.Source 1 ↗Source 2 ↗	Curated memory, past-conversation search and skills improved during use.Source ↗
Recurring work and chats	Scheduled routines and connected chat channels, including Telegram and Discord.Source 1 ↗Source 2 ↗	Built-in cron with platform delivery; Telegram, Discord, Slack and more.Source ↗
Models and extensions	Model providers, Claude Code, Codex and ACP agents; MCP and skills.Source 1 ↗Source 2 ↗Source 3 ↗	Multiple model providers, MCP, skills and plugins.Source ↗
License and costs	MIT. Model and service usage can have separate costs.Source 1 ↗Source 2 ↗	MIT. Providers and hosted execution can cost extra.Source 1 ↗Source 2 ↗

With the models you already use

APX doesn't tie you to one model. Use your plan, an API or a local model, and give each agent the one that suits it.

ChatGPTYour ChatGPT plan.
ClaudeAnthropic's API, with your key.
GeminiGoogle's Gemini API.
Claude CodeIts sessions sit beside your chats.
CodexIts sessions sit beside your chats.
ACP agentsOpenCode, Qwen Code, goose and more.
OpenAI-compatible APIsAnything that speaks that API.
Local modelsOllama or LM Studio, with no key.

What makes the difference

Hermes explicitly documents skill creation and refinement as part of its learning loop. APX puts projects, named agents and task follow-through at the center. Hermes also delegates work: choosing APX is not a choice between having a team and having no delegation.

APX ↗Hermes Agent ↗

Try it on real work

Give each product a recurring research task and a follow-up a week later. Check what it remembers, how you correct it and how easily you find the result.

Sources and scope

Written by APX, using the primary sources below. This is a documented-feature comparison, not a hands-on benchmark or a security audit. Features, plans and terms can change. A missing detail is not a missing feature.

Sources checked October 30, 2026