wren-engine🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

Wren Engine is an open-source context engine designed for AI agents, providing a semantic, governed, and agent-ready context layer for business data. It helps bridge the gap between AI agents' capabilities and business context understanding, enabling agents to reason over business data, understand models, use trusted metrics, follow relationships, respect governance, and turn natural language into accurate data access. Wren Engine is the foundation behind Wren AI and is intended to be embedded in MCP servers, agent workflows, and connected to various data sources. The engine allows teams to describe their business domain with Wren's semantic model and MDL, capturing context agents need, analyzing intent, and planning correct queries. Wren Engine's vision is to contribute to the future of context-rich AI systems where agents can reason, retrieve, plan, and act on a shared understanding of business reality. The engine's primary function is to turn business data into agent-usable context. It provides a clean interface for MCP clients and AI agents to interact with that context. Teams can refine the model as business logic and systems evolve. Wren Engine has been archived and merged into Canner/WrenAI under the core/ directory, and new issues and PRs are being addressed in the Canner/WrenAI repository.