← Back to List
⚠
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
Pythonusemoss/moss

moss

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

79.4/100
★ 790Forks: 102
View on GitHub →Homepage →
Loading report...

Similar Projects

PageIndex

91

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Python★ 38.6K

SimpleMem

62

[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

Python★ 3.8K

FlashRank

63

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Python★ 1.0K

mem0

94

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Python★ 66.6K
← Back to List