datallmhub

datallmhub / spring-agent-flow

Public

Multi-agent orchestration framework on top of Spring AI

agentic-ai agentic-workflow java spring spring-boot
11
1
100% credibility
Found Apr 30, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Java
AI Summary

A framework for building collaborative AI agent workflows in Java that handle multiple steps, coordination, retries, and state persistence using Spring AI.

How It Works

1
🔍 Discover the teamwork tool

You hear about a helpful way to make AI helpers work together on big tasks, like researching and writing reports.

2
📥 Try the instant demo

Download and run a ready example that shows AI friends collaborating, no setup or passwords needed.

3
✨ Watch the magic unfold

One AI gathers facts while another crafts a story, all flowing smoothly without you lifting a finger.

4
👥 Build your own AI team

Pick roles for your helpers, like researcher or writer, and let them pass info back and forth.

5
Choose your style
🤝
Quick team chat

Let a leader pick who handles each part naturally.

🗺️
Map the journey

Draw a clear path with branches and safety nets for bumps.

6
🧠 Add smart thinking power

Connect real brainy services so your team can reason deeply and use helpful tools.

🎉 Your team conquers tasks

Sit back as your AI crew handles tricky jobs, bounces back from glitches, and delivers polished results every time.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 11 to 11 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is spring-agent-flow?

Spring-agent-flow is a Java framework for building stateful multi-agent workflows on top of Spring AI, handling orchestration for complex AI pipelines like research-analyze-draft-review chains. It lets you define agent graphs with explicit edges, branches, loops, and squads of coordinating agents, plus built-in retries, circuit breakers, and durable checkpoints via JDBC or Redis for crash recovery and human-in-the-loop pauses. Run it with real LLMs like Claude or mocks for testing—no API keys needed to start.

Why is it gaining traction?

Unlike single-call Spring AI chats or Python tools like LangGraph multi agent github repos, it offers Java-native graphs and squads with typed shared state, resilience policies, and Micrometer metrics, skipping manual orchestration boilerplate. Quick CLI demos simulate multi-agent coordination out of the box, and it integrates CLI agents like Claude Code as graph nodes. For multi agent orchestration open source fans, it's a Spring Boot starter that streams events and resumes interrupted flows seamlessly.

Who should use this?

Java backend devs extending Spring AI beyond simple prompts into multi-step agent systems, like enterprise RAG pipelines or supervisor-routed squads for task breakdown. Teams building durable AI services with failure recovery, such as research bots that pause for approval or parallel tool-calling agents. Spring AI users eyeing multi agent github copilot systems without switching to Python.

Verdict

Worth prototyping for Spring AI multi-agent needs—solid docs, samples, and recipes make it approachable despite low maturity (11 stars, 1.0% credibility). Track for 1.0 stabilization before production.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.