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.
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.
Lightweight AI agent framework with built-in memory, tool calling, and tree-of-thought reasoning, supporting multi-agent collaboration and self-learning, compatible with OpenAI, DeepSeek, Qwen, and other major LLMs with MCP/SSE protocol integration.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations across providers like OpenAI, Anthropic, and AWS Bedrock.
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.