LLM-agnostic platform for agent building & testing
Introduction
- A low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures, compatible with various LLM models.
- Facilitates building custom agents and cognitive architectures with ease.
- Supports multiple LLM models including OpenAI, Anthropic's Claude, and local Oobabooga, allowing flexibility in running different models for different agents based on specific requirements.
- Provides customizable agent memory management and on-the-fly prompt editing for rapid development and testing.
- Comes with a database-agnostic design ensuring seamless extensibility, with straightforward integration with different databases like ChromaDB for various AI projects.
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