How to Boost Your OpenClaw Bot 10x 🦞

#javascript #webdev #programming #opensource

Hello everyone! Today, as OpenClaw (MoltBot, ClawdBot) has become one of the most popular repositories on GitHub, the question arises: how can we improve the process of using it in projects?

In this article, I would like to tell you how this can be done in literally 5 minutes.

What is the problem with local work?

Essentially, this bot is quite good for running on your machine, but like any technology, it needs some extra boosts to make your project work better ✅.

Let's look at the features that would be suitable for work:

Failover
Observability
Multi-Model Access

Of course, none of this is included by default, as additional modules need to be added for it to work. OpenAI won't help here either; other modules are needed.

Using the add-on module

For example, let's take one interesting module with Rust based architecture, which will allow you to quickly work with the bot. Let's say this module is Bifrost.

It works with many AI Providers and will work with this bot too.

Example of use

To get our project working with the module, all we need to do is make a quick configuration and click a couple of buttons in the interface.

# Start Bifrost
docker run -d -p 8080:8080 -v ~/data:/app/data --name bifrost maximhq/bifrost

# Configure in Moltbot
openclaw config set models.providers.bifrost '{
  "baseUrl": "http://localhost:8080/v1",
  "apiKey": "dummy-key",
  "api": "openai-completions",
  "models": [{"id": "gemini/gemini-2.5-pro", "name": "Gemini 2.5 Pro"}]
}'

# Set as default
openclaw config set agents.defaults.model.primary bifrost/gemini/gemini-2.5-pro

# Restart and test
openclaw gateway restart
openclaw chat "Hello via Bifrost"

If everything is successful, you will be able to see a picture like this:

This will show you, if you have used it at least once, that requests are coming in and everything is working.

How did this get boosted?

Now imagine having full control over your AI-powered chat process. This means you can view statistics, automatically route to your backup, get access to Claude, GPT-5, see every request your assistant makes, and much more, all by enabling just one module.

And the fact that it is 50x faster than LiteLLM in benchmarks makes it not only multifunctional, but also fast.

Conclusion

Using this module, you can not only increase your productivity by 10x, but even by 100x if you use the app correctly. This will maximize your user experience and conversion 📈.

Thank you for reading this article! I hope it was helpful.

Link to the module's GitHub