Memori
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.
- Type: Framework
- Imported from GitHub
- Popularity: 17.1K GitHub stars
- Source: https://github.com/MemoriLabs/Memori
- Repository: https://github.com/memorilabs/memori
- Tags: agent, agent-memory, agenticai, ai, ai-memory, claude-code, enterprise, hermes, llm, long-short-term-memory, memory, memory-management
- Updated: 2026-10-01
More frameworks
- open-webui — User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
- langchain — The agent engineering platform.
- awesome-llm-apps — 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
- graphify — Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Curs…
- ragflow — RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create…
- PaddleOCR — Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PD…
- crawl4ai — Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cl…
- hello-agents — 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程