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nousresearch/hermes-agent

🔥 Hot135,689PythonAudience · developerComplexity · 4/5ActiveLicenseSetup · hard

TLDR

A self-hosted AI agent you run on your own computer or server, accessible from terminal or messaging apps, that learns from your tasks and improves over time.

Mindmap

mindmap
  root((Hermes Agent))
    What it does
      Chat interface
      Learn from tasks
      Search conversations
      Build user model
    Access methods
      Terminal
      Telegram
      Discord
      Slack
      WhatsApp
      Signal
    Model providers
      Nous Portal
      OpenRouter
      OpenAI
      Hugging Face
      Custom endpoint
    Infrastructure
      Local machine
      Docker
      SSH
      Serverless
      GPU cluster
    Features
      Scheduled automations
      Subagents
      MCP integration
      Multi-session memory

Things people build with this

USE CASE 1

Run a personal AI assistant on your own server that remembers conversations across days and learns your preferences.

USE CASE 2

Connect the same agent to multiple messaging platforms (Slack, Discord, Telegram) so you can chat from anywhere with shared context.

USE CASE 3

Automate recurring tasks with built-in scheduling and spawn parallel subagents to handle complex work independently.

USE CASE 4

Deploy on serverless infrastructure that scales down when idle, or run on a local machine, GPU cluster, or VPS depending on your needs.

Tech stack

PythonDockerSSHModalVercel

Getting it running

Difficulty · hard Time to first run · 1h+

Multiple infrastructure pieces (Docker, Modal serverless, SSH access, persistent storage) and learning system setup required.

Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

Hermes Agent is a self-improving AI agent built by Nous Research. In plain terms, it is a program you install that wraps a large language model and gives it tools, memory, and a chat interface so it can act as a long-running personal assistant rather than a one-off chatbot. The README calls it the only agent with a built-in learning loop: it creates skills from experience, improves them during use, persists knowledge over time, searches its own past conversations, and builds a model of you across sessions. How it works, according to the README, is that you install via a curl-piped shell script on Linux, macOS, WSL2, or Android via Termux, then run hermes to start a terminal UI with multiline editing, slash commands, and streaming tool output. You pick a model with hermes model, choosing between providers including Nous Portal, OpenRouter, NVIDIA NIM, Xiaomi MiMo, z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, OpenAI, or a custom endpoint. A separate gateway lets the same agent be reached from Telegram, Discord, Slack, WhatsApp, Signal, and email. It runs in seven terminal backends including local, Docker, SSH, and serverless options that hibernate when idle. Features called out include autonomous skill creation, agent-curated memory with periodic nudges, session search, a cron scheduler, isolated subagents, and MCP integration. You would use Hermes when you want a persistent, cross-platform AI assistant that lives on a small server rather than your laptop. It is released under the MIT license. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
How do I install Hermes Agent on my Linux machine and connect it to OpenAI's API?
Prompt 2
Show me how to set up Hermes Agent to answer me on both Slack and Telegram with the same conversation history.
Prompt 3
How can I create a custom skill in Hermes Agent that it will remember and improve each time I use it?
Prompt 4
What are the steps to deploy Hermes Agent on a serverless platform like Vercel or Modal instead of running it locally?
Prompt 5
How do I configure Hermes Agent to run scheduled automations and spawn subagents for parallel tasks?
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Generated 2026-05-21 · Model: sonnet-4-6 · Verify against the repo before relying on details.