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The interaction control harness for customer-facing AI agents, optimized for building controlled, consistent and predictable customer interactions with LLMs.
The interaction control harness for customer-facing AI agents, optimized for building controlled, consistent and predictable customer interactions with LLMs.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations across providers like OpenAI, Anthropic, and AWS Bedrock.
A GenAI application development framework that simplifies agent interaction with structured data and chained-calls syntax, using event-driven flow for complex logic.
Atomic Agents is a modular AI agent building framework with an atomic design philosophy, providing composable components including tools, pipelines, and memory management for constructing agent systems.
AutoChain is a lightweight, extensible, and testable LLM Agent framework by Forethought, providing clean abstractions for agent building with automatic tool selection, conversation history management, and automated testing workflows.