liteflow
Lightweight, fast, stable, programmable component-based rule engine — where AI Agents orchestrate just like ordinary components. Uniquely designed DSL: component reuse, sync/async & dynamic orchestration, multi-language scripting, nested rules, hot deployment and smooth refresh. If you can orchestra
LiteFlow is a lightweight, component-based rule engine framework that, starting from v2.16.0, natively supports AI Agent orchestration as first-class components. It wraps full ReAct (Reasoning + Acting) Agents into standard LiteFlow nodes, enabling developers to mix AI decision-making with traditional business logic using the same declarative DSL. The framework supports sequential, parallel, conditional, and nested orchestration patterns, allowing multiple LLM-powered agents to collaborate within complex workflows alongside regular business components.
Key Features
Use Cases
- 01Multi-agent collaboration workflows where different LLMs analyze problems in parallel and aggregate results
- 02Conditional routing between specialized AI agents based on request type or business rules
- 03Hybrid pipelines combining AI decision-making with traditional data processing and validation steps
- 04Complex customer service workflows orchestrating multiple reasoning agents with business logic
- 05Dynamic process automation where AI agents handle unstructured inputs before structured business operations
- 06A/B testing different LLM providers or prompts within the same orchestration flow
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liteflow — FAQ
What is LiteFlow and what does it do for AI agents?+
LiteFlow is a rule engine framework that, from v2.16.0 onward, treats AI ReAct Agents as standard orchestratable components. You can mix AI nodes with business logic nodes in declarative rules, enabling complex multi-agent workflows using the same DSL you'd use for traditional components.
How do I install LiteFlow for AI agent orchestration?+
Add the LiteFlow dependencies and the liteflow-react-agent module to your Java project via Maven or Gradle. You'll need JDK 21+ for the AI Agent module. Configure your LLM provider credentials (API keys) and define agent components by extending LiteFlow's ReAct Agent base class.
Which LLM providers does LiteFlow support?+
LiteFlow's AI Agent module integrates with OpenAI, Claude (Anthropic), Google Gemini, DeepSeek, Alibaba Qwen (DashScope), Moonshot Kimi, and Zhipu GLM. Switching between models typically requires only changing the model() configuration.
What are the prerequisites for using LiteFlow AI agents?+
You need JDK 21 or higher at runtime, API keys for your chosen LLM provider(s), and a Spring Boot 2.x/3.x/4.x or standalone Java application. The AI module is built on agentscope-java.
Is LiteFlow free and open source?+
Yes, LiteFlow is an open-source project under the Dromara organization, continuously maintained since 2020. The framework itself is free, though you'll incur costs from your LLM provider based on their pricing.
Can LiteFlow work with non-Spring applications?+
Yes, LiteFlow supports Spring Boot 2.x/3.x/4.x and standalone Spring, but it also works with any Java framework or plain Java projects. The framework adapts to your project structure.
How do I install liteflow?+
Open the source repository on GitHub and follow its README. liteflow is a agent — MCP Agents Market links you directly to the official repo.
Is liteflow free?+
liteflow is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.