Toolhouse is a complete cloud infrastructure designed to equip Large Language Models (LLMs) with action and knowledge. It allows users to deploy smarter AI with minimal code, specifically stating that it can be done with just 3 lines of code.

Key Features:

• Creates AI agents as APIs, eliminating the need to build and manage an AI stack.
• Pre-integrated with essential tools: scrapers, web search, memory, databases, RAG (Retrieval Augmented Generation), and MCP (Multi-tool Coordination Platform).
• Provides a full agentic platform without requiring in-depth technical knowledge.
• Offers a free plan with 50 agent runs per month and unlimited MCP calls.
• Allows creation of public and discoverable agents on the free plan.
• Each agent run costs 1 credit and includes unlimited MCP executions without extra charges for external tool calls.
• Users retain full control and ownership of their agents and data, which are stored as configuration files that can be saved locally or on GitHub.

Use Cases:

• Building AI agents by simply describing their desired function in natural language.
• Integrating AI agents with various tools like Lovable, Bolt, v0, and Cursor.
• Empowering "vibe coders" to build and deploy projects by typing what they want to create.
• Performing tasks such as snooping competitors, analyzing user feedback, getting daily news (e.g., Hacker News), finding apartments, and identifying similar leads.

Benefits:

• Saves weeks of development time.
• Simplifies the complexity of function calling for developers, acting like an "npm for function calling."
• Enhances the power of any model that supports function calling.
• Brings sanity to codebases by standardizing LLM provider implementations.
• Allows for rapid project implementation through an "incredible SDK."
• Offers a great developer experience with a commitment to speed.
• Disrupts the current AI landscape by making scalable infrastructure accessible to independent developers, not just large corporations.