Hermes Agent
✓ Editorially verifiedOpen-source multi-channel AI agent with persistent memory, scheduling, and subagent delegation from Nous Research.
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.
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 Agent is Nous Research's open-source personal AI agent that lives across the messaging channels you already use, including Telegram, Discord, Slack, WhatsApp, Signal, email and a local CLI. It pairs persistent memory, natural-language task scheduling and subagent delegation with web browsing, search and vision so the same agent can pick up a thread on your phone and continue it on your laptop.
What differentiates Hermes from generic chat clients is its execution model: it runs across five backends (local, Docker, SSH, Singularity and Modal) with container hardening and namespace isolation, and it auto-generates reusable skills as it learns your projects. The codebase is MIT-licensed and you can self-host it free, but Nous also sells managed Portal tiers (Free, Plus, Super, Ultra) that bundle monthly credits and access to 300+ models behind one set of credentials. Desktop apps ship for macOS 12+, Windows 10/11 and Linux, with a terminal install for headless boxes.
It's aimed at developers and power users who want one agent that remembers context, dispatches isolated subagents, and runs scheduled jobs without being chained to a single chat UI. Python RPC scripting and the multi-backend executor make it more of an automation framework than a chatbot wrapper.
This is one of the more serious open-source attempts at a cross-channel personal agent, and the Nous Research pedigree plus MIT license make it worth a look over closed alternatives. The five-backend executor and subagent isolation hint at real automation ambition, but it's still a pre-1.0 project, so expect rough edges and shifting skills.
— The AI Tool Bible editorial team
Pros
- ✅ 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
Cons
- ⚠️ 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
Use cases
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