#retrieval

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.

The Official Exa Javascript SDK

Rust Agent Development Kit (ADK-Rust): Build AI agents in Rust with modular components for models, tools, memory, realtime voice, and more. ADK-Rust is a flexible framework for developing AI agents with simplicity and power. Model-agnostic, deployment-agnostic, optimized for frontier AI models. Includes support for real-time voice agents.

Real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis

Open-source context retrieval layer for AI agents

Rust library for generating vector embeddings, reranking locally!

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

97% token reduction for AI coding sessions — zero deps, 33 languages, MCP server

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Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.