microsoft/kernel-memory

Health v2 · maintenance only

Adoption not part of the score

2235 stars · 415 forks observed · 2026-09-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kernel Memory is a multi-modal AI service and .NET library for indexing datasets through hybrid data pipelines, enabling RAG, semantic search, and natural-language querying with citations. It ships as a web service, Docker container, ChatGPT/Copilot/Semantic Kernel plugin, and embedded .NET library.

Use cases

• build a RAG pipeline over my documents
• index pdfs and query them with natural language
• add semantic memory to a chatbot or copilot
• run a memory retrieval service in Docker
• integrate memory as a Semantic Kernel plugin
• get answers from indexed data with source citations

When to choose

• you want a reference implementation to learn RAG and memory architecture patterns in .NET
• you need a ready-made Semantic Kernel or ChatGPT memory plugin example
• you want to study hybrid ingestion pipelines with embeddings and citations

When to avoid

• you need production software with active support - the project is archived and unsupported
• you are not on the .NET/Azure ecosystem and want a maintained solution
• you need guaranteed updates, security patches, or community help

Facets

library · maturity abandoned

rag search-engine llm-inference etl nlp sdk plugin-system artificial-intelligence large-language-models databases dotnet cloud self-hosted semantic-memory embeddings semantic-kernel-plugin chatgpt-plugin copilot azure document-indexing archived-project research-project retrieval-augmented-generation search natural-language-processing docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/kernel-memory")