M
Memori
MemoriLabs/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.
★15.7kstars
Python
NOASSERTION
Updated: Today
📋 Project at a Glance
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What's this?A agent/agent-memory tool in the Plugins, MCP & Skills category, built with Python, open-source
Who made it?Maintained by MemoriLabs team, 15.7K⭐ on GitHub, #70 out of 2373 in Plugins, MCP & Skills
Why does it exist?The MemoriLabs team recognized that existing agent tools in Plugins, MCP & Skills were hard to use. Memori was designed to make agent-memory more accessible.
What can it do?Key use cases: agenticai, ai-memory, claude-code
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/MemoriLabs/Memori | 官网 https://memorilabs.ai
🔗 github.com/MemoriLabs/Memori | 官网 https://memorilabs.ai
Topics
agentagent-memoryagenticaiaiai-memoryclaude-codeenterprisehermesllmlong-short-term-memorymemorymemory-managementopenclawpythonragstate-managementstatefultypescript