Microsoft open-sources Kernel Memory, a ready-to-use RAG pipeline supporting multi-modal data
blaizedsouza · x · 2026-08-21
Microsoft has quietly released Kernel Memory, an open-source, out-of-the-box RAG (Retrieval Augmented Generation) pipeline. Users simply drop in data—PDFs, Word docs, web pages, or images—and the system automatically handles text extraction, chunking, embedding, and storage. It supports semantic and hybrid search, returning grounded answers with citation links and token usage stats. The tool flexibly integrates with various models (e.g., Azure OpenAI, Ollama, Anthropic) and vector databases (e.g., Qdrant, pgvector), with every step being swappable, significantly lowering the barrier to building memory systems for agents and AI apps.
More from coding & agent
- Claude Agents turn product brainstorming into instant action demo — mattturck · 2026-08-21
- Agent Loop is the engine, outcome ownership is the product — dfinke · 2026-08-21
- Remote Co-founder Builds Agent Icarus to Automate Tacit Company Knowledge — dscape · 2026-08-21
- Agent Design: Capabilities Should Be Tools, Domains Should Be Agents — andreisavu · 2026-08-21
- Long-Horizon Agents: A Technical Primer on METR Doubling Trends — agihouse_org · 2026-08-21
- Harrison Chase shares strategies to harden Agent evals for better signals — hwchase17 · 2026-08-21