embabel/embabel-agent

Health v2 · maintenance only

Adoption not part of the score

4386 stars · 429 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Embabel Agent is an agentic AI framework for the JVM, written in Kotlin with first-class Java and Spring Boot support. It provides typed, goal-oriented agent orchestration, LLM integration, human-in-the-loop flows, and automatic exposure of agents as MCP servers.

Use cases

• build production AI agents on the JVM
• orchestrate multi-agent workflows in Java or Kotlin
• expose LLM agents as MCP tools for Claude Desktop or VS Code
• extract typed objects from LLM prompts
• build human-in-the-loop agent applications with Spring Boot
• replace Python agent prototypes with type-safe JVM code

When to choose

• you are building LLM-powered agents in Java or Kotlin
• you want Spring Boot integration and enterprise-grade type safety
• you need MCP server publishing of agent goals
• you are moving agentic AI from Python experiments to production

When to avoid

• your stack is Python-centric and you prefer LangChain or Pydantic AI
• you need a lightweight script rather than a full framework
• you do not use the JVM at all

Facets

framework · maturity active

agent-framework llm-inference mcp rag prompt-engineering chatbot artificial-intelligence large-language-models developer-tools backend jvm self-hosted agentic-ai multi-agent-orchestration spring-boot mcp-server genai type-safe-prompts ai-agents spring docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="embabel/embabel-agent")