Toolhouse
Description
🖼️ Tool Name:
Toolhouse
🔖 Tool Category:
Agentic Backend-as-a-Service and infrastructure platform for deploying AI agents and function-calling workflows at scale.
✏️ What does this tool offer?
Toolhouse provides developers with a streamlined environment to build, deploy, and scale AI-powered agents using a universal SDK. It includes pre-built tools for Retrieval-Augmented Generation (RAG), memory, caching, function calling, analytics, and observability. The platform enables low-code agent creation, instant endpoint deployment, and performance monitoring without heavy infrastructure setup.
⭐ What does the tool actually deliver based on user experience?
• Quick creation and deployment of AI agents using simple CLI commands
• Developer-friendly SDK supporting major LLMs and tools
• Access to a built-in Tool Store with ready-made integrations like web scraping, RAG, and more
• Low-latency cloud infrastructure with edge deployment, memory storage, and caching
• Built-in analytics and observability tools for monitoring agent performance
• Minimal configuration required, enabling fast iteration and testing
• Used by engineers from leading tech companies to enhance productivity
🤖 Does it include automation?
Yes — Toolhouse automates:
• Agent scaffolding and deployment workflows
• Tool integration (e.g., RAG, memory, scraping) without manual setup
• Hosting infrastructure including caching, memory, and logging
• Function-calling pipelines and monitoring tools for debugging and optimization
💰 Pricing Model:
Freemium with usage-based billing for higher-scale deployments
🆓 Free Plan Details:
• Access to core SDK, deployment tools, and infrastructure
• Up to approximately 500 agent executions per month
• Free usage of limited LLM tokens and edge infrastructure for testing and development
💳 Paid Plan Details:
• Pay-as-you-go billing beyond free limits
• Unlocks higher execution quotas, premium support, and enterprise-grade performance
• Custom pricing available for production teams and organizations
🧭 Access Method:
• Install via CLI using standard package managers
• Authenticate and deploy agents using API keys
• Manage and monitor agents through a web-based dashboard
🔗 Experience Link:
https://toolhouse.ai/?ref=futuretools.io