Agently

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.

An agent framework for llama.cpp that supports structured function calls and JSON output, enabling easy interaction with local LLMs without fine-tuning.

An end-to-end infrastructure for training and evaluating various LLM agents — provides a complete toolchain from data construction to model training and evaluation.