M
memlayer
divagr18/memlayer
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
★277stars
Python
MIT
Updated: 3d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Plugins, MCP & Skills category, core strengths: agent/ai-infrastructure
Who made it?Maintained by divagr18 team, 277⭐ on GitHub, #1255 out of 2373 in Plugins, MCP & Skills
Why does it exist?The divagr18 team recognized that existing agent tools in Plugins, MCP & Skills were hard to use. memlayer was designed to make ai-infrastructure more accessible.
What can it do?Key use cases: context-management, developer-tools, embedded
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/divagr18/memlayer | 官网 https://divagr18.github.io/memlayer/
🔗 github.com/divagr18/memlayer | 官网 https://divagr18.github.io/memlayer/
Topics
agentaiai-infrastructurecontext-managementdeveloper-toolsembeddedgraph-databaseknowledge-graphllmllm-memorymemoryopenaipersistent-memorypythonragretrievalretrieval-augmented-generationsemantic-searchtransformervector-database