Hermes Agent

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GitHub Python MIT

Description

An autonomous AI agent framework from NousResearch that supports multiple LLM backends and grows with user needs.

Key Features

  • Self-improving learning loop - Auto-creates skills from experience, self-improves during use, cross-session recall
  • Multi-platform messaging gateway - Single process supports Telegram, Discord, Slack, WhatsApp, Signal, and CLI
  • Six terminal backends - Local, Docker, SSH, Singularity, Modal, and Daytona with serverless hibernation
  • Multi-LLM provider - Supports Nous Portal, OpenRouter (200+ models), OpenAI; switch with hermes model
  • Subagent parallelization - Spawn isolated subagents for parallel workstreams with Python RPC tool calls
  • Scheduled automation - Built-in cron scheduler with natural language config and multi-platform delivery

Use Cases

💡 Deploy on a $5 VPS as a 24/7 personal AI assistant that accumulates memory through Telegram conversations
💡 Use subagents to parallelize multiple research tasks with each agent independently searching and summarizing
💡 Configure scheduled tasks for daily report generation, nightly backups, and weekly system audits
💡 Run on Modal/Daytona serverless infrastructure with near-zero idle cost and on-demand wake-up

Tags

agent-framework autonomous-agent llm python

Categories

🤖 Agent Framework 💻 Coding Agent

Quick Start

# One-line install for Linux/macOS
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

# Reload shell
source ~/.bashrc

# Start interactive conversation
hermes

# Choose LLM provider and model
hermes model
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