EvoAgentX
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About
EvoAgentX is an open-source framework for building, evaluating, and evolving LLM-based agents or agentic workflows in an automated, modular, and goal-driven manner. At its core, EvoAgentX enables developers and researchers to move beyond static prompt chaining or manual workflow orchestration. It introduces a self-evolving agent ecosystem, where AI agents can be constructed, assessed, and optimized through iterative feedback loops—much like how software is continuously tested and improved.
From a single prompt, EvoAgentX builds structured, multi-agent workflows tailored to the task.
It integrates automatic evaluators to score agent behavior using task-specific criteria.
Agents don’t just…
Across sources
- Stars 3.2k
- Forks 294
- Commits 1.2k
- Releases 5