# MIT License

Ultra-fast SIMD-accelerated embedded vector database with TurboQuant compression

High-performance Rust and Python vector search index utilizing TurboQuant 2-to-4-bit data-oblivious quantization for ultra-compact memory footprint and zero-training ANN retrieval.

Microsoft's distributed approximate nearest neighbor search library and billion-scale vector engine

Microsoft's distributed approximate nearest neighbor search library and online vector serving engine, utilizing space-partition trees and relative neighborhood graphs for billion-scale semantic retrieval.

Library for efficient similarity search and clustering of dense vectors at billion-scale.

FAISS is Meta AI Research's open-source library for efficient similarity search and clustering of dense vectors. It implements approximate nearest-neighbor algorithms designed to scale to billions of vectors, with optimized indexes that fit in RAM and GPU acceleration for the largest workloads. Engineering teams use FAISS as the retrieval primitive underneath custom RAG pipelines, recommendation systems, and large-scale embedding search infrastructure.

Open-source, plugin-based agent harness from DeepSeek

DeepSeek Harness (dsh) is an open-source, MIT-licensed agent harness from DeepSeek with a web UI, desktop app, CLI and SDK, in developer preview. It is built on a plugin architecture and works with a DeepSeek API key or other compatible model providers. Session-log upload to the DeepSeek API is on by default in the master branch as of 30 Sep 2026 and can be turned off.

Local AI CRM and workflow automation on OpenClaw

DenchClaw is a local AI CRM and workflow automation app built on OpenClaw. It runs on a Mac at localhost, lets users chat with local business data, and focuses on lead enrichment, founder/customer research, and outreach automation. It belongs beside local AI, workflow automation, and OpenClaw-style personal-agent tools rather than pure coding IDEs.