The LangChain repository describes an agent engineering platform for building agent based software.
Open source
24 alternativesEvoAgentX
EvoAgentX describes its project as an ecosystem of AI agents that can evolve over time.
About EvoAgentX
EvoAgentX is a framework for building, evaluating, and evolving LLM-based agents and agentic workflows. Its homepage describes a goal-driven process in which a workflow is constructed from a prompt, scored by automatic evaluators, and then improved through iterative feedback. The project is presented as a GitHub repository, and the homepage describes it as an open-source framework.
The framework supports multiple model providers, including OpenAI, Qwen, Claude, DeepSeek, and Kimi models, through LiteLLM, SiliconFlow, or OpenRouter. The homepage says locally deployed models can be used through LiteLLM, but it presents this as something to try rather than a confirmed setup. Agents can use built-in tools to interact with external environments, and the memory module supports both short-term and persistent memory. The homepage does not state pricing, and it does not describe data handling or privacy practices.
Key features
- Builds structured multi-agent workflows from a single prompt
- Automatic evaluators score agent behavior using task-specific criteria
- Self-evolving algorithms iteratively improve workflows based on a dataset and goals
- Connects to OpenAI, Qwen, Claude, DeepSeek, and Kimi models via LiteLLM, SiliconFlow, or OpenRouter
- Short-term and persistent memory modules for agents
- Human-in-the-loop checkpoints for reviewing and correcting workflow behavior
Best for: AI researchers, workflow engineers, and development teams who build and iteratively improve LLM-based agent workflows.
Good for
- Supports several model providers through LiteLLM, SiliconFlow, or OpenRouter
- Includes human review checkpoints within agent workflows
- Offers both short-term and persistent memory modules
EvoAgentX at a glance
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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EvoAgentX FAQ
Can EvoAgentX use models that run on my own machine?
The homepage says you can try LiteLLM to use LLMs deployed locally on your own machine. It does not describe a tested setup for this.
Does EvoAgentX let a person review agent actions?
Yes. The homepage states that it supports Human-in-the-Loop interactions, where a person can review, correct, and guide agent behavior at checkpoints.
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