AI Agent Development Framework
2.7k 2026-04-07
EvoAgentX/EvoAgentX
An open-source framework for building, evaluating, and self-evolving AI agents and workflows based on Large Language Models (LLMs).
Core Features
Agent Workflow Autoconstruction
Built-in Evaluation
Self-Evolution Engine
Plug-and-Play LLM Compatibility
Human-in-the-Loop Interactions
Detailed Introduction
EvoAgentX is an open-source framework designed to automate the construction, evaluation, and evolution of LLM-based agents and their workflows. It moves beyond static prompt chaining and manual orchestration by introducing a self-evolving agent ecosystem. This framework enables developers and researchers to build, assess, and optimize AI agents through iterative feedback loops, supporting memory modules and human-in-the-loop interactions, making it an ideal launchpad for real-world AI agent development.