Lightweight embedded vector store for low-latency on-device vector operations in prototyping AI apps, using HNSW for fast ANN search with built-in embeddings and metadata filtering. Enables quick local RAG on edge devices; simpler and lower-latency than cloud Qdrant for developer workflows.

AI-powered code editor and IDE built on VSCode with Composer 1.5 for multi-file editing, Background Agents for autonomous coding, and support for frontier models from OpenAI, Anthropic, Gemini, and xAI.

Most accurate agent memory system achieving 91.4% on LongMemEval with four parallel retrieval strategies and four distinct memory networks for world knowledge, experience, and opinions.

Open standard from Anthropic for connecting AI systems to external data sources and tools. Donated to the Linux Foundation's Agentic AI Foundation in December 2025.

Local LLM inference engine supporting GGUF models with hardware acceleration on Metal, CUDA, ANE, WebGPU. Features Flash Attention, MicroLoRA, RoPE, quantization (Q4-Q8, π-Quantization), MoE routing, and streaming tokens for browser and edge deployment.

A fully managed service within Amazon Bedrock that automates the retrieval-augmented generation (RAG) workflow by ingesting unstructured and structured data, converting it into embeddings, and storing them in supported vector databases. It enables grounding generative AI responses with enterprise data without manual orchestration.