Hermes Agent: The Self-Improving OpenClaw Alternative with 24K Stars

What Is Hermes Agent

Hermes Agent is an open-source AI agent framework built by Nous Research. It is Python-based, MIT licensed, and designed around one idea: agents should get better at their job over time without manual rewrites.

The timing matters. On April 4, 2026, Anthropic cut OpenClaw from Claude subscription limits. Third-party harnesses now bill through “extra usage” instead of your existing plan. Users are looking for alternatives. Hermes is trending because it solves two problems at once: it works with any LLM provider, and it gets smarter the more you use it.

With 24,259 stars on GitHub, Hermes has built a serious community fast. It supports Telegram, Discord, Slack, WhatsApp, Signal, and CLI. It runs on a $5 VPS, serverless platforms like Daytona and Modal, Docker, or SSH.

Key Features

Self-Improving Skills

This is what sets Hermes apart. When it completes a task, it can save the workflow as a skill. Next time it encounters a similar task, it loads the skill and improves it. No manual prompt tuning. The agent learns from experience and refines its own approach during use.

Persistent Memory with FTS5 Search

Hermes has built-in persistent memory. Sessions are searchable via FTS5 full-text search. Your agent remembers past conversations, decisions, and context across restarts. No external database required.

Multi-Provider, No Lock-In

Hermes supports Nous Portal, OpenRouter (200+ models), OpenAI, Kimi, MiniMax, and any custom endpoint. After today's Anthropic pricing change, provider flexibility is not optional. It is a requirement.

Runs Anywhere

Six terminal backends: local, Docker, SSH, Daytona, Singularity, and Modal. Deploy on a $5 VPS or go serverless. 40+ built-in tools plus MCP integration for extending capabilities. Built-in cron scheduler for automated tasks. Subagent spawning for parallel work.

Hermes Agent vs OpenClaw

Side-by-side comparison of the two frameworks.

Feature	Hermes Agent	OpenClaw
Self-Improving	Yes, built-in skill learning	No
Persistent Memory	FTS5 session search	WORKING.md file-based
LLM Providers	Nous, OpenRouter 200+, OpenAI, Kimi, MiniMax	Claude, GPT-4o, Ollama, OpenRouter
Platforms	Telegram, Discord, Slack, WhatsApp, Signal, CLI	Telegram, Discord, Slack, CLI
Deployment	Local, Docker, SSH, Daytona, Singularity, Modal	Local, Docker, VPS
Migration from OpenClaw	hermes claw migrate	N/A
Scheduler	Built-in cron	HEARTBEAT.md
License	MIT	Apache 2.0
GitHub Stars	24,259	250,000+
Language	Python	Node.js

OpenClaw has a larger ecosystem and community. Hermes has the self-improving loop and broader platform support. Both are open source. The right choice depends on whether you value ecosystem size or adaptive learning.

How to Install and Get Started

One command to install. One command to configure. One command to chat.

1. Install Hermes Agent

curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

2. Run the setup wizard

hermes setup
# Walks you through provider selection, API keys, and platform config

3. Start chatting

hermes
# Opens the CLI chat interface

The setup wizard lets you pick your LLM provider and connect messaging platforms. Total time from install to first message is under two minutes.

Migrating from OpenClaw

Hermes includes a dedicated migration command for OpenClaw users. Run it in your existing OpenClaw project directory.

hermes claw migrate

This reads your SOUL.md files, tool configs, and workspace settings. It converts them into Hermes Agent format. Agent identity, rules, and tool definitions carry over. You do not need to rewrite your agent from scratch.

What gets migrated

Agent identity and personality from SOUL.md. Tool definitions and configurations. Provider settings (you can switch providers during migration). Workspace and multi-agent routing rules. Platform integrations need to be reconnected manually through the Hermes setup wizard.

CrewClaw Templates Work Across Frameworks

Whether you stay on OpenClaw, switch to Hermes, or try something else, you still need well-structured agent configurations. Our gallery of 228+ agent templates gives you tested roles, tool setups, and team configs that translate across frameworks.

Agent logic is portable. The role definition, tool selection, and workflow design are the hard parts. The framework is just the runtime. Start with a proven template and adapt it to whichever framework fits your stack.

Create an agent that works on any framework. Pick your role, configure your tools, deploy on Hermes, OpenClaw, or anywhere else.

Frequently Asked Questions

Is Hermes Agent free to use?

Yes. Hermes Agent is MIT licensed and completely free. You pay only for the LLM provider you choose. Running local models through Ollama or similar means zero ongoing cost.

What does self-improving mean in practice?

When Hermes completes a task, it can save the steps as a reusable skill. Next time it encounters a similar task, it loads that skill and refines it. Over time, your agent gets faster and more accurate without manual tuning.

Can I use Claude with Hermes Agent?

Not directly through Anthropic's API, but you can route Claude through OpenRouter which gives you access to 200+ models including Claude. You can also use Nous Portal, OpenAI, Kimi, MiniMax, or any OpenAI-compatible endpoint.

How does hermes claw migrate work?

Run hermes claw migrate in your OpenClaw project directory. It reads your SOUL.md files, tool configs, and workspace settings, then converts them into Hermes Agent format. Agent identity, rules, and tool definitions carry over.

What hardware do I need?

Hermes Agent itself is lightweight Python. It runs on a $5 VPS. The hardware requirements depend on your LLM choice. Using a cloud provider like OpenRouter needs minimal resources. Running local models needs more RAM and GPU.

Does Hermes support multi-agent teams?

Yes. Hermes has subagent spawning for parallel work. A parent agent can create child agents for specific subtasks and collect their results. It also has a built-in cron scheduler for recurring automated tasks.

Related Guides

Why Multi-Provider Agents Are the Future

Anthropic changed the rules. Provider-agnostic agents are the only safe path forward.

Ollama Cloud Now Covers OpenClaw

Ollama stepped in same day with cloud coverage. 5-minute switch guide.

OpenClaw API Pricing Explained

Full breakdown of the April 2026 pricing change and cost-saving strategies.

How to Reduce OpenClaw Token Usage

Where tokens get wasted and how pre-built agents cut usage by 40-60%.