mcp-memory-service-lite is an open-source semantic memory service designed for AI agents. It uses ONNX embeddings for efficient storage and retrieval, offers a REST API and MCP transport, and requires no PyTorch. Suitable for developers needing lightweight, cross-platform AI memory solutions.
In the Other AI space, mcp-memory-service-lite takes a focused approach. It focuses on providing a lightweight, efficient semantic memory service for AI agents without heavy dependencies. mcp-memory-service-lite is an open-source project aimed at AI developers building agent memory systems. The project is open source (Apache-2.0). It runs on the command line and API.
doobidoo builds and maintains mcp-memory-service-lite, and the product first shipped in 2026. Across PulseGate's embedding index, mcp-memory-service-lite has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are semantic memory, ONNX embeddings, and REST API. It exposes integrations via an MCP server and a public API.
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