Hermes Agent is an open source, self-hosted AI agent that runs persistent automation across CLI and messaging apps with full control over model choice and data.
The Problem
Teams running AI workflows on hosted services hit API rate limits, pay per-session costs, and lose control over where conversation data goes. When automation needs to run continuously, span multiple chat channels, and recall context across sessions, hosted tools impose hard limits on what teams can build.
How Hermes Solves It
Hermes is MIT licensed and installs in a single command on Linux, macOS, WSL2, or Docker. It keeps persistent memory with full-text search across prior conversations, connects one agent runtime to CLI, Telegram, Discord, Slack, WhatsApp, Signal, and email simultaneously, and lets teams swap model providers without code changes.
Key Features
- Persistent memory with full-text search across prior conversations
- Multi-channel operation from one agent runtime (CLI, Telegram, Discord, Slack, WhatsApp, Signal, email)
- Model provider flexibility: OpenAI, OpenRouter, NVIDIA NIM, Hugging Face, and custom endpoints
- Scheduled automations for recurring reports and nightly checks
- Parallel subagent execution for independent task flows
Self-Hosting
Hermes runs locally, on a VPS, or in containerized environments. Teams should plan for API key management, channel integration setup, and runtime monitoring. Serverless persistence via Daytona or Modal brings the idle cost close to zero.
Who It's For
Best for developer teams that already operate Docker or remote Linux environments and want a self-hosted AI agent they can inspect, extend, and run 24/7. Less suited to non-technical teams that need a zero-configuration SaaS experience.
Compared to ChatGPT
Unlike ChatGPT and Claude.ai, Hermes runs on your infrastructure, stores conversation history in a local database you control, and lets you switch model providers without migrating your workflow.
