anna-oake/hermes-agent

Hermes Agent is a self-improving AI assistant that learns from every interaction and builds a deepening understanding of you over time. Instead of starting each conversation fresh, it remembers past sessions, creates new skills from complex tasks, and refines those skills as you use them. You can run it on a cheap cloud server and chat with it from your phone via Telegram, Discord, or Slack, so it's always available even when your laptop is closed. Under the hood, it's a terminal-based tool that connects to any major AI model you choose, OpenAI, OpenRouter, or several others, and lets you switch between them without changing your setup. It works through two main entry points: a terminal interface for direct work, or a messaging gateway that pipes conversations through the chat apps you already use. It has a built-in scheduler for recurring tasks like daily reports or nightly backups, and it can spawn subagents to handle multiple workstreams in parallel. The README doesn't go into deep technical detail on the learning loop, but it describes a system where the agent curates its own memory, periodically nudges itself to save knowledge, and searches its own past conversations to recall context across sessions. This is built for people who want an AI assistant that persists and grows rather than resetting every time. A founder could use it to maintain a running knowledge base of decisions and context across weeks of work. A researcher could have it run scheduled audits or generate batch training data. Someone managing personal automation could talk to it from their phone and have it execute tasks on a remote server. What's notable is the flexibility: it runs on everything from a $5 VPS to a GPU cluster, supports serverless setups that cost nearly nothing when idle, and isn't locked to any single AI provider. The project is built by Nous Research and released under an MIT license.