LaVague vs hermes-agent
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LaVague | hermes-agent | |
|---|---|---|
| Tagline | Large Action Model framework for developing AI Web Agents | The self-improving AI agent built by Nous Research |
| Stars | 6.4k | 211k |
| Forks | 574 | 39k |
| Open issues | 104 | 27k |
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jan 21, 2025 | Jul 7, 2026 |
| Categories | Developer Tools, AI Agents | AI Agents |
LaVague
LaVague is an open-source framework designed to help developers create AI Web Agents that can automate processes by interpreting and executing actions based on a given objective. It comprises a World Model, which decides the appropriate set of instructions needed to achieve the objective, and an Action Engine that compiles these instructions into executable code using libraries like Selenium or Playwright.
Python
hermes-agent
Hermes Agent is an AI agent designed to learn from experience, improve over time, and adapt to the user's needs. It supports various deployment options and multiple AI models.
Python