An application framework for AI engineering from the Spring team, providing unified LLM integration, vector storage, function calling, RAG, and agent development for Java and Spring ecosystems with support for OpenAI, Anthropic, Ollama, and more.
A JVM framework by JetBrains for building predictable, fault-tolerant, enterprise-ready AI agents across all platforms — from backend services to Android, iOS, and in-browser environments, with built-in MCP and multi-provider LLM support.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations across providers like OpenAI, Anthropic, and AWS Bedrock.
A framework for building, running, and scaling AI agents as APIs and microservices, with built-in observability, auditability, and identity-aware access control from day one.
Real-time transport layer for Java AI agents supporting WebSocket, SSE, gRPC, and WebTransport/HTTP3, with native MCP, A2A, and AG-UI protocol support for building event-driven AI agent communication architectures.