21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T551,

What is Toolhouse?

Toolhouse is a complete cloud infrastructure designed to equip Large Language Models (LLMs) with actions and knowledge. It simplifies function calling, allowing developers to deploy smarter AI agents with just a few lines of code. Toolhouse provides a Backend-as-a-Service with pre-loaded features like RAG, evals, memory, edge functions, and storage.

How to use Toolhouse?

Define agents and deploy them as APIs using the Toolhouse CLI. The platform provides built-in features and integrations, allowing you to focus on building rather than setting up infrastructure.

Toolhouse's Core Features

Agentic Backend-as-a-Service

Built-in function calling and API integrations

Built-in RAG, evals, memory, edge functions, and storage

CLI for agent deployment

Agent Studio for building agents in written language

Toolhouse's Use Cases

#1 Deploying AI agents as APIs

#2 Building AI applications with pre-built infrastructure components

#3 Automating tasks with function calling

#4 Creating and sharing AI agents

Toolhouse

📋Introduction

User Rating