<img src="https://static.wixstatic.com/media/0ad3c7_ee1c424967824936af003a05dd992fa1~mv2.png" alt="Featured on Hey It's AI" style="width: 250px; height: 50px;" width="250" height="50">
Get to know the latest AI tools
Join 2300+ other AI enthusiasts, developers and founders.
Ratings
Help other people by letting them know if this AI was useful. All tools start with a default rating of 3.
- Share Your ThoughtsBe the first to write a comment.
Pros & Cons
API-driven architecture
Flexible Language Model Integration
Reliable cloud-based system
Interactive assistants
Stateful APIs
Managed memory functionality
Integrated tools
Augmented generation system
Friendly for beginners and experts
Autonomous decision-making abilities
Integration with leading LLM providers
Supports front and back-end development
Supports multiple languages including REST API, Python, TypeScript
Robust and scalable
Open-source friendly
Vector-based retrieval system
Comprehensive LLMs Integration
Autonomous decision-making
Integrated and customizable tools
Separate front-end and back-end architecture
Extensive resources for quick start
Effortless assistants integration
Customizable tool creation
Advanced inference capabilities
Developer-friendly APIs
Build a knowledge base
Tool integration
Semantic search functionality
Asynchronous API
Unlimited collaboration
API-centric architecture
Enhanced privacy
Open-source adaptability
Multi-tenant project support
Local deployment possibility
Supports Docker for full-stack deployment
Continuous feature upgrades
Active community engagement
No local deployment
Too API-centric
Separate front-end and back-end
Missing collaboration features
Limited accessibility for beginners
Requires knowledge of variety of languages
Complex augmented generation system
Only cloud-based
Overly complex memory management
Limited to LLM workflows
