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spring-ai-alibaba
by alibaba
Java-first framework for building and orchestrating multi-agent workflows
Java
Updated Mar 30, 2026
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Summary
Enables Java developers to build agentic, multi-agent applications using Spring idioms. Provides abstractions for agent workflows, context engineering, and graph-backed state to coordinate specialist agents. Distinctive for its Spring integration and Java-first SDK for embedding agent orchestration into enterprise apps.
Key Benefits
As agents become components inside enterprise systems, teams need familiar frameworks to compose, observe, and manage them. Spring AI brings agent orchestration into the Java/Spring stack so teams can reason about delegation, Model Context Protocol (MCP) Pattern, and state in production services. That alignment with standard backend tooling makes it easier to instrument agent interactions for trust and evaluation workflows, and can align with A2A Protocol for interoperability.
When to Use
Java and Spring teams who want to embed multi-agent orchestration and context-driven workflows into production services.
Applications
- Compose specialist agents within Spring applications to split and coordinate complex tasks
- Persist and share context via graph-backed state for repeatable agent decisions
- Embed agent logic into backend services for production monitoring and governance
- Prototype agent delegation patterns and instrument interactions for later evaluation
Topics
agenticartificial-intelligencecontext-engineeringgraphjavamulti-agentreactagentspring-aiworkflow
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Keywords
multi-agent orchestrationagent-evaluationspring-aiagent delegation