Build AI Agents in Minutes with Toolhouse No-Code Platform
Toolhouse enables beginners to create, schedule, and deploy AI agents using voice commands, natural language, or CLI, integrating tools like Gmail and RAG without backend infrastructure.
Create Agents Autonomously with Voice or Natural Language
Toolhouse's dashboard allows instant agent creation by typing or speaking in plain English, handling setup without code. Speak to the Verbra-powered builder: "Create a deep research agent for large language models, running daily at 9:00 a.m." The platform autonomously configures tools for web scraping, summarization, and output, generating a testable workbench. Test by querying "Conduct today's deep research on large language models," yielding outputs like Claude Mythos updates with sources. Refine via chat: upload files, adjust prompts, or request changes like prioritizing sources. Templates accelerate starts, e.g., invoice processing. This voice-to-agent flow builds sophisticated pipelines claimable by a 10-year-old in minutes, eliminating infrastructure management.
Enhance Agents with Tools, RAG Memory, and Integrations
Extend agents by adding integrations like Gmail for daily emails. Edit the agent, connect Gmail via OAuth, select actions (e.g., send email), and update the system prompt: "Send the briefing to email." Schedule runs trigger automations, e.g., scraping LLM news, summarizing into Google Docs, and emailing recipients. For memory, upload documents for RAG—agents reason over private files like PDFs on YouTube channels, answering "What is this PDF about?" with accurate summaries. MCP server hookups enable tool access (email, scraping, code execution) across agents. Ready-made tools orchestrate multi-step workflows, saving hours on manual tasks like content scraping and reporting.
CLI Workflow for Developers
Install Toolhouse CLI (th login), create agents via th new doc-agent for RAG-focused setups. Add knowledge files (e.g., PDFs), deploy with th deploy, test in browser (th open) or API. This developer path suits custom needs, like private document summarization agents. Integrate CLI with coding agents via MCP on Smithery, Zapier, or Pipedream for automated configuration.
Deploy and Embed for Production Use
Agents deploy as live API endpoints for app integration or shareable chatbots. Copy the prompt to embed in tools like Lovable, instantly generating a chat UI powered by the agent—query it for LLM research, get sourced summaries. Manage OAuth connections, revoke access, and review logs for transparency. Full pipelines (research → summarize → email) run autonomously, accessible via links, APIs, or embeds, focusing efforts on useful AI systems over setup.