Search results for "protocol"
🤖 MateClaw — Java + Vue 3 AI Assistant with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, and Multi-Channel Support. Built on Spring AI Alibaba.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
Real-time transport layer for Java AI agents. Build once with @Agent — deliver over WebSocket, SSE, gRPC, and WebTransport/HTTP3. Talk MCP, A2A and AG-UI.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, a
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Wanaku MCP Router
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto
Model Context Protocol - MCP for Mifos X
Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.
Excalibase GraphQL instantly turns your database into a GraphQL API. Built with Spring Boot, it supports schema discovery, subscriptions, and type handling — no manual resolvers needed.
Agent-ready telemetry SDK — enriches OpenTelemetry across Java, Go, Python, Node.js, and browser with structured context for AI-driven observability.
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and