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.
Lightweight AI agent framework with built-in memory, tool calling, and tree-of-thought reasoning, supporting multi-agent collaboration and self-learning, compatible with OpenAI, DeepSeek, Qwen, and other major LLMs with MCP/SSE protocol integration.
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 是一个轻量级、可扩展且可测试的 LLM Agent 框架，由 Forethought 开发。提供简洁的 Agent 构建抽象，支持自动工具选择、对话历史管理和自动化测试流程。
An agent framework for llama.cpp that supports structured function calls and JSON output, enabling easy interaction with local LLMs without fine-tuning.