Hermes Agent — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Hermes Agent. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 8, 2026 • Sentiment updated: May 8, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I've been using the NousResearch Hermes agent for the past couple of weeks and have to say it's been really good, as stated on HackerNews. The community is also discussing the potential of Hermes Agent, with one user on Twitter saying 'Hermes agent gets to it over the wireless network. I would say I've been the most “impressed” with this agent since I'm running it on a small local model'

Pros & Cons

What People Love

Reddit users praise its ability to organize important info, Dev.to users appreciate its potential for building ADK Agents, HackerNews users like its self-improving capabilities

Common Complaints

Bug issues, Configuration problems

Biggest Positive: Great tool

Biggest Negative: Bug issues

Why Hermes Agent Stands Out

Hermes Agent stands out from other AI agent frameworks due to its self-improving capabilities, which enable it to learn from experience and adapt to user behavior. Its closed learning loop, autonomous skill creation, and user modeling features make it a unique and valuable tool for building personalized chatbots and research assistants. Additionally, its support for various LLM providers and serverless infrastructure options makes it a flexible and cost-effective solution.

Built With

Build a self-improving AI agent that learns from experience — Hermes Agent's closed learning loop enables autonomous skill creation and improvement, Build a research assistant that searches and summarizes large volumes of text — Hermes Agent's integration with various LLM providers allows for efficient text analysis, Build a personalized chatbot that adapts to user behavior — Hermes Agent's user modeling and personality features enable customized interactions, Build a task automation system that runs on a serverless infrastructure — Hermes Agent's support for Daytona and Modal allows for cost-effective automation, Build a multi-agent system that delegates and parallelizes tasks — Hermes Agent's ability to spawn isolated subagents enables efficient workflow management

Getting Started

  1. Run `curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash` to install Hermes Agent
  2. Run `source ~/.bashrc` to reload the shell and make the Hermes Agent command available
  3. Run `hermes` to start the interactive CLI and begin a conversation
  4. Run `hermes model` to choose an LLM provider and model
  5. Try `hermes tools` to configure which tools are enabled and verify that the agent is working as expected

About

The agent that grows with you

Official site: https://hermes-agent.nousresearch.com

Category & Tags

Category: research

Tags: ai, ai-agent, ai-agents, anthropic, chatgpt, claude, claude-code, clawdbot, codex, hermes, hermes-agent, llm, moltbot, nous-research, openai, openclaw

Market Context

Hermes Agent is positioned as a self-improving AI agent, competing with other AI tools and models