SmythOS

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Introduction: SmythOS is a no-code platform that enables you to build and deploy AI agents without manual programming. By describing your requirements, the Agent Weaver tool automatically constructs agents using leading AI models and APIs. The platform supports integrations with services like OpenAI, Hugging Face, and Amazon Bedrock. SmythOS is recognized as a Gartner AI Category Leader and is utilized by organizations including the US Airforce and Unilever.
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SmythOS Product Information

What is SmythOS?

SmythOS lets you build and deploy AI agents without manual coding. Describe your needs, and Agent Weaver creates it automatically using the best AI models and APIs. Integrate with OpenAI, Hugging Face, Amazon Bedrock, and more—no manual coding required. SmythOS is a Gartner AI Category Leader. Our customers include the US Airforce and Unilever.

How to use SmythOS?

Describe your AI agent requirements, and Agent Weaver will automatically generate the agent using integrated AI models and APIs. Once created, you can deploy your agent locally or to cloud environments, including AWS.

SmythOS's Core Features

  • No-code AI agent creation
  • Visual builder with drag & drop interface
  • Universal integration with AI models and APIs
  • Pre-built agent templates
  • Real-time debugging
  • Shared workspaces with user and permission management
  • Enterprise-ready deployment options

SmythOS Use Cases

#1 Crypto API backend for smart contract evaluation
#2 Sales agent automating Hubspot from call transcripts
#3 Discord bot for AI-powered ticket resolution
#4 Copilot plugin integrating with Jira, Knowledge Base, and GitHub
#5 Blog-to-Social Converter
#6 Lead Enrichment Agent
#7 SEO Blog Post Writer
#8 Founder Research Agent
#9 Financial News Podcaster

FAQ from SmythOS

What is the cost of model usage? +

Previously, SmythOS users had to manage multiple vendor subscriptions, which involved approval processes and rate limits without access to bulk discounts. We continue to offer the flexibility to use your own AI models at no markup, while providing a consolidated view of your AI spending across various models and tools. For more details, please refer to our documentation.

What are public and private agents? +

In SmythOS, agents can be configured as public or private based on access requirements. Public agents are accessible via a link or integration point, making them ideal for customer-facing chatbots, lead generation, or public APIs without requiring user authentication. Private agents are restricted to authorized users or systems, typically requiring authentication via OAuth or API keys. These are designed for internal workflows or sensitive operations where data security is critical. SmythOS employs robust security measures, including encrypted storage and secure authentication, for both agent types.

What is Agent Weaver? +

Agent Weaver is a built-in assistant within SmythOS that simplifies the creation and management of AI agent workflows. Through an intuitive conversational interface, it allows users to generate workflows from a single prompt, troubleshoot issues, and update agents to meet evolving requirements. Agent Weaver streamlines the design process, allowing you to build complex workflows in minutes.

What are AI agents, and how can they benefit my business? +

AI agents are intelligent programs that automate tasks, make decisions, and interact with systems based on defined workflows. They help businesses improve operational efficiency, enhance customer service, automate repetitive tasks, and derive insights from data. By implementing AI agents, businesses can save time, reduce costs, and increase overall productivity.

How do I choose the right plan for my team? +

To select the appropriate plan, evaluate your team size, the volume and complexity of your automation tasks, storage needs, and specific feature requirements. You can review our feature comparison table to determine the best fit. For personalized guidance, please contact our sales team at support@smythos.com.

What is RAG, and how does it improve AI agent performance? +

Retrieval-Augmented Generation (RAG) integrates AI text generation with real-time data retrieval from your specific knowledge base. This allows your AI agents to provide accurate, context-aware, and current responses, increasing their reliability for tasks such as customer support, data analysis, and decision-making.

Can I export agents to run locally or on other systems? +

Yes, SmythOS allows you to export agents to run locally or on external systems using the SmythOS Runtime Environment, which maintains agent functionality outside the platform. You can also deploy these agents to cloud platforms like AWS to ensure scalable and efficient operation within your existing infrastructure.

What learning and support resources are available? +

SmythOS provides several resources to support your success, including comprehensive documentation, a YouTube channel with tutorials and demos, and an active Discord community for peer connection and direct support from our team. These resources are designed to help you create, deploy, and optimize your AI agents effectively.

SmythOS Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to SmythOS.

Compare Amazon Nova Lite and Amazon Nova Micro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.

Compare Amazon Nova Pro and Amazon Nova Lite across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.

Compare Amazon Nova Pro and Amazon Nova Micro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.

Compare Amazon Nova Lite and Mistral Medium 3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.

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