RAG & Search

Memori

by MemoriLabs · Python

Built in Python, Memori is an open-source RAG and search tool maintained by MemoriLabs. It has 17k GitHub stars and 3.8k forks, and was last updated in October 2026. Topics include agent, agent-memory and agenticai.

“Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.”

— MemoriLabs, project description on GitHub

Details

CategoryRAG & Search
GitHub stars17,151
Forks3,804
LanguagePython
Last updated
OwnerMemoriLabs
Websitememorilabs.ai
RepositoryMemoriLabs/Memori

Tags

agentagent-memoryagenticaiaiai-memoryclaude-codeenterprisehermes

Repository facts from the GitHub public API, refreshed October 18, 2026. The quoted tagline is written by the project owner; the summary above is generated from public facts.

All RAG & Search

memvid

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give…

RAG & Search17k stars

SurfSense

Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and…

RAG & Search17k stars

zvec

A lightweight, lightning-fast, in-process vector database

RAG & Search16k stars

easy-dataset

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

RAG & Search15k stars

llm-universe

本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/

RAG & Search14k stars

EverOS

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving…

RAG & Search13k stars