Hermes Agent

Self-Improving AI Agent Framework

Hermes Agent is a revolutionary AI Agent framework released by Nous Research on February 25, 2026. Unlike traditional static agents, Hermes Agent possesses unique self-improvement capabilities—through its built-in learning loop, it automatically extracts and optimizes skills from every interaction, achieving compound growth in capabilities. With over 95,600 stars on GitHub (as of May 2026), it has become the fastest-growing project in the AI Agent space, more than doubling from 43.7k stars in just two months.

Latest Version: v0.10.0 - Features 118 bundled skills, a three-layer memory system (working, episodic, semantic), and enhanced multi-agent coordination.

Why Choose Hermes Agent?

True Self-Evolution: Hermes Agent is not just a task execution tool, but an AI system that "learns." Through its 5-stage skill extraction mechanism (Observe→Analyze→Plan→Verify→Optimize), it automatically extracts experiences from successes and failures to form a reusable skill library.

Persistent User Modeling: Unlike traditional agents limited by context windows, Hermes Agent builds cross-session persistent user models. It remembers your preferences, work style, and interaction history to provide increasingly personalized service.

Native Multi-Agent Architecture: Built-in coordinator+experts multi-agent system enables professional division of labor without complex configuration. Different agents each perform their duties—coordination, planning, execution, verification—forming a complete intelligent workflow.

Who Should Choose Hermes Agent?

If you want an agent that learns and improves with every interaction, Hermes Agent is unmatched. For one-click simplicity, consider QClaw or AutoClaw.

Core Features

1. Learning Loop Engine

The core of Hermes Agent is its patented learning loop engine:

# 5-stage skill extraction mechanism
Observe → Analyze → Plan → Verify → Optimize

• Observe: Record complete task execution data
• Analyze: Identify success patterns and failure causes
• Plan: Generate reusable skill templates
• Verify: Test skill effectiveness in similar scenarios
• Optimize: Continuously improve skills based on feedback

2. Automatic Skill Generation

Traditional agents require manually written skills; Hermes Agent learns from your workflows:

• Document Processing: Automatically learns your file naming and classification rules
• Email Replies: Learns your tone and response patterns
• Code Style: Adapts to your coding preferences and project structure
• Research Methods: Optimizes your information collection and analysis processes

3. Cross-Session Memory System

User Modeling Layer
├── Preference Memory (liked/disliked content)
├── Context Memory (conversation and task history)
├── Skill Memory (learned capabilities)
└── Knowledge Graph (entity relationship network)

4. Multi-Agent Coordination

Coordinator
├── Task Decomposition Expert
├── Progress Monitoring Expert
├── Quality Verification Expert
└── Skill Scheduling Expert

Execution Layer (Workers)
├── Research Expert
├── Writing Expert
├── Programming Expert
└── Analysis Expert

Installation

# Method 1: pip install (recommended)
pip install hermes-agent

# Method 2: Install from source
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
pip install -e .

# Method 3: Docker deployment
docker pull nousresearch/hermes-agent:latest
docker run -d --name hermes \
  -v ~/.hermes:/app/data \
  -p 8080:8080 \
  nousresearch/hermes-agent

# Method 4: Migrate from OpenClaw
hermes migrate --from openclaw --data-path ~/.openclaw

First launch:

hermes setup
hermes start

Web UI access: http://localhost:8080

System Requirements

Comparison with OpenClaw

Common Use Cases

Knowledge Workers

Hermes Agent learns your research methods and knowledge system, automatically building a personal knowledge base:

• Automatically organize notes and documents
• Extract key concepts and relationships
• Generate knowledge graphs
• Intelligent retrieval and Q&A

Developers

Adapts to your code style and project architecture, providing intelligent programming assistance:

• Learn project structure and coding standards
• Automatically generate team-style compliant code
• Intelligent code review and optimization suggestions
• Automated testing and documentation generation

Content Creators

Masters your content style and audience preferences, automating content production:

• Learn article tone and structure
• Automatically generate content outlines
• Adapt publishing formats for different platforms
• Continuously optimize content strategy

Pricing

Community and Support

• Website: https://nousresearch.com/hermes-agent
• Documentation: https://docs.nousresearch.com/hermes-agent
• GitHub: https://github.com/NousResearch/hermes-agent
• Discord: Active community, 20,000+ members
• Twitter: @NousResearch

License

MIT License - Free and open source for commercial and personal use.

Quick Start Guide

Get Hermes Agent up and running quickly.

Step 1: Install

git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
npm install
npx hermes-agent setup

Step 2: Configure

Set your AI model and API key in the configuration.

Step 3: Connect and Go

Link your messaging platform and start using your AI agent.

Full documentation: https://docs.nousresearch.com/hermes-agent

Source code: https://github.com/NousResearch/hermes-agent

FAQ

Is Hermes Agent free to use?

Yes, Hermes Agent is free and open source (MIT license). You only pay for AI model API costs if using external models.

What are the system requirements for Hermes Agent?

Hermes Agent requires 4GB RAM of RAM minimum. Runtime: Python 3.10+, Modern Browser. It runs on Windows, macOS, and Linux.

Can I self-host Hermes Agent?

Yes. Hermes Agent is open source (MIT) and can be self-hosted on your own hardware. Clone the repository from GitHub and follow the installation guide.

How does Hermes Agent compare to OpenClaw?

Hermes Agent offers a different approach compared to OpenClaw. While OpenClaw provides the largest ecosystem with 13,729+ skills and maximum flexibility, Hermes Agent focuses on personal assistant. Choose Hermes Agent if you prioritize its specific features; choose OpenClaw for the broadest compatibility and community support.

Is Hermes Agent suitable for beginners?

Hermes Agent requires some technical knowledge to set up (Python 3.10+, Modern Browser). If you are a beginner, consider starting with QClaw (one-click install) or MaxClaw (cloud-based, no setup) first, then graduate to Hermes Agent as you gain experience.

Related Agents

• OpenClaw - The original AI agent framework, compatible data migration with Hermes Agent
• QClaw - Tencent's agent now using Hermes Agent as kernel (v0.2.14+)
• Kimi Claw - Moonshot AI's cloud-native agent with K2.6 model
• AutoClaw - Zhipu AI's one-click desktop agent with GLM-5.1
• MaxClaw - MiniMax's cloud-hosted agent with M2.7 model