OpenAgents Builder is a no-code web-based platform that enables users to create intelligent AI agents with drag-and-drop workflows. It integrates seamlessly with popular LLMs like OpenAI and Anthropic, supports API connectors, and provides ready-made templates. Users can test agents in real time, deploy them across web chat or messaging tools, and monitor performance through built-in analytics.
OpenAgents Builder is a no-code web-based platform that enables users to create intelligent AI agents with drag-and-drop workflows. It integrates seamlessly with popular LLMs like OpenAI and Anthropic, supports API connectors, and provides ready-made templates. Users can test agents in real time, deploy them across web chat or messaging tools, and monitor performance through built-in analytics.
OpenAgents Builder offers a visual, no-code environment where users can assemble AI agent workflows by dragging and dropping components representing LLM calls, logic branches, and API actions. The platform supports integrations with major large language models such as OpenAI GPT and Anthropic’s Claude, and allows custom API connectors for business systems like CRMs or databases. Agents can maintain conversational context across sessions with memory modules. Built-in templates for customer support, lead qualification, and knowledge base retrieval speed up creation. Once configured, agents are tested directly in the interface, then deployed via embed code, widget, or integrations with Slack and Microsoft Teams. Real-time analytics dashboards track interactions, usage patterns, and performance metrics to continuously refine agent behavior and accuracy.
Who will use OpenAgents Builder?
Product managers
Customer support teams
Sales and marketing professionals
Developers without coding expertise
Educational institutions
How to use the OpenAgents Builder?
Step1: Sign up for an account on the OpenAgents Builder website.
Step2: Create a new agent project or choose from a template.
Step3: Drag and drop workflow components for LLM calls, logic, and API actions.
Step4: Configure LLM settings and connect external APIs or databases.
Step5: Test the agent in the built-in chat simulator.
Step6: Deploy via embed code, widget, or integrations (Slack, Teams).
Step7: Monitor usage and performance in the analytics dashboard and iterate.
Platform
web
OpenAgents Builder's Core Features & Benefits
The Core Features
Drag-and-drop workflow builder
LLM integrations (OpenAI, Anthropic)
Custom API connector support
Memory modules for context retention
Built-in templates library
Multi-channel deployment (web, Slack, Teams)
Real-time testing and chat simulator
Analytics and performance dashboard
The Benefits
Accelerates AI agent development
No coding required
Seamless integration with business tools
Scalable and customizable workflows
Improves user engagement
Data-driven performance insights
OpenAgents Builder's Main Use Cases & Applications
Automating customer support chatbots
Qualifying leads and routing sales inquiries
Internal knowledge base retrieval
Interactive tutoring and educational assistants
HR onboarding and employee FAQs
OpenAgents Builder's Pros & Cons
The Pros
Open source framework enabling inspection and modification of core functionality.
No coding skills required for building complex AI-powered business agents.
Includes comprehensive business tools like order management, booking systems, NPS surveys, and scheduling.
Strong focus on data security and user data ownership with encryption and GDPR compliance.
Facilitates integration with existing systems via API endpoints.
Supports team cooperation with audit logs and access control.
The Cons
Pricing information is not explicitly provided, making cost evaluation difficult.
No direct mobile app or extension presence identified.
Potential learning curve for fully utilizing extensibility and integrations.