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.
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.
An agent framework for llama.cpp that supports structured function calls and JSON output, enabling easy interaction with local LLMs without fine-tuning.
LLM Compiler for Parallel Function Calling (ICML 2024), significantly improving agent tool calling efficiency and speed through parallel execution.
A flexible multi-interface AI agent framework supporting reasoning, tool use, memory, deep research, blockchain interaction, and MCP protocol, capable of building agent applications ranging from simple conversations to complex research tasks.