AgentRails is a Ruby on Rails framework that simplifies embedding AI agents into web applications. It provides tools to create conversational agents, manage session memory, call external services, and automate workflows directly within Rails.
AI Platforms & Frameworks
Workflow Automation
#Rails development
#AI Chatbots
#Language model integration
#Developer Tools
#Session Management
#API integration
#Natural Language Processing
#custom workflows
#Rapid Prototyping
#conversation state
#Rails conventions
#Content Generation
#intelligent agents
#software solutions
#OpenAI API
#programming efficiency
#web applications
#extensible platforms
#Developer Resources
#AI-Powered Features
...
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AgentRails
AgentRails is a Ruby on Rails framework that simplifies embedding AI agents into web applications. It provides tools to create conversational agents, manage session memory, call external services, and automate workflows directly within Rails.
AI Platforms & Frameworks
Workflow Automation
#Rails development
#AI Chatbots
#Language model integration
#Developer Tools
#Session Management
#API integration
#Natural Language Processing
#custom workflows
#Rapid Prototyping
#conversation state
#Rails conventions
#Content Generation
#intelligent agents
#software solutions
#OpenAI API
#programming efficiency
#web applications
#extensible platforms
#Developer Resources
#AI-Powered Features
...
Featured
What is AgentRails?
AgentRails empowers Rails developers to build intelligent agents that leverage large language models for natural language understanding and generation. Developers can define custom tools and workflows, maintain conversation state across requests, and integrate seamlessly with Rails controllers and views. It abstracts API calls to providers like OpenAI and enables rapid prototyping of AI-driven features, from chatbots to content generators, while adhering to Rails conventions for configuration and deployment.
Who will use AgentRails?
- Ruby on Rails developers
- Software engineers building AI features
- Startups prototyping intelligent web apps
- Back-end developers integrating chatbots
How to use the AgentRails?
- Step1: Add gem 'agent_rails' to your Gemfile and run bundle install
- Step2: Configure your LLM provider API key in config/initializers/agent_rails.rb
- Step3: Generate an agent with rails generate agent MyAgent and define prompts
- Step4: Register custom tools by creating classes under app/tools
- Step5: Invoke your agent in controllers or jobs and render responses in views
- Step6: Use built-in memory adapters to store conversation context across requests
Platform
- web
- mac
- windows
- linux
AgentRails's Core Features & Benefits
The Core Features
- LLM-powered agent creation with Rails generators
- Custom tool integration for external APIs
- Session-based memory management
- Natural language prompt management
- Seamless Rails controller and view integration
- Support for multiple LLM providers
The Benefits
- Rapid AI feature prototyping
- Familiar Rails conventions and workflows
- Reduced boilerplate for API interactions
- Maintainable conversation state
- Extensible with custom tools and adapters
AgentRails's Main Use Cases & Applications
- Customer support chatbots embedded in Rails apps
- Dynamic content generation for marketing pages
- Internal knowledge base assistants
- Automated ticket classification and response
- Onboarding assistants for SaaS platforms
FAQs of AgentRails
AgentRails Company Information
- rforgeon
AgentRails Reviews
5/5
AgentRails's Main Competitors and alternatives?
- langchain-ruby
- OpenAI Ruby Client
- AgentsAI
- LLMCore
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