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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -121,6 +121,7 @@ _Frameworks that help you to leverage LLMs and AI._
- [JamJet](https://github.com/jamjet-labs/jamjet) - Agent runtime with a Java SDK for building AI agents, supporting graph-based workflow orchestration, multi-agent coordination, and MCP/A2A protocols.
- [LangChain4j](https://github.com/langchain4j/langchain4j) - Simplifies integration of LLMs with unified APIs and a comprehensive toolbox.
- [MCP Java SDK](https://github.com/modelcontextprotocol/java-sdk) - Enables applications to interact with AI models and tools through a standardized interface (i.e. Model Context Protocol), supporting both synchronous and asynchronous communication patterns.
- [Regulus](https://github.com/neul-labs/regulus) - EU & UK compliance plane for Google ADK encoding 10 regulations (EU AI Act, GDPR, DORA, NIS2, EHDS, UK GDPR, FCA SYSC, PRA SS1/23, PRA SS2/21, NHS DSPT) as runtime `BasePlugin` profiles with hash-chained audit envelopes, PII redaction, dual-control kill switch, and GRC adapters (ServiceNow IRM, OneTrust, MetricStream).
- [simple-openai](https://github.com/sashirestela/simple-openai) - Library to use the OpenAI API (and compatible ones) in the simplest possible way.
- [Spring AI](https://spring.io/projects/spring-ai) - Application framework for AI engineering for Spring.

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