Claude Skill

alibaizhanov/mengram

Mengram provides human-like memory for AI agents with semantic, episodic, and procedural memory. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

Overview

Stars171
Forks26
LanguagePython
Last pushed2026-05-21
Last synced2026-06-23
View on GitHub

Repository

Owneralibaizhanov
Repositorymengram
Full namealibaizhanov/mengram
Repo ID1,154,785,536

Install this Skill

pip install mengram-ai # or: npm install mengram-ai

Registry

Typemcp_server
Quality score85/100
Verificationreadme_parsed
Last verified2026-06-23
Platforms
ClaudeMCPOpenClawCodexCursor
Capabilities
browserpdfmemorysearchimageterminalworkflowagent-memoryai-agentsai-memory
Detected files
README.mddocker-compose.ymlexamplespyproject.tomlrequirements.txttests
Config keys
MENGRAM_API_KEY
Install methods
  • pip install mengram-ai # or: npm install mengram-ai
  • pip install mengram-ai
  • npm install mengram-ai

Summary

Mengram provides human-like memory for AI agents, supporting semantic, episodic, and procedural memory types. It features experience-driven procedures that learn from failures, and offers a free API, Python & JS SDKs, along with integrations for LangChain, CrewAI, and OpenClaw.

Chinese description

为AI代理赋予类人记忆——语义记忆、情景记忆与程序记忆。基于经验驱动的程序,能从失败中学习。提供免费API、Python与JS软件开发工具包,并集成LangChain、CrewAI及OpenClaw。

Key features

  • Three memory types: semantic, episodic, and procedural
  • Experience-driven procedures that learn from failures
  • Free API with Python & JS SDKs
  • Integrations with LangChain, CrewAI, and OpenClaw

Use cases

  • Building AI agents with persistent memory
  • Enhancing RAG pipelines with episodic recall
  • Creating adaptive workflows that improve over time
  • Developing cognitive profiles for personalized AI interactions

README excerpt

<div align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://img.shields.io/badge/Mengram-a855f7?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxMjAgMTIwIj48cGF0aCBkPSJNNjAgMTYgUTkyIDE2IDk2IDQ4IFExMDAgNzggNzIgODggUTUwIDk2IDM4IDc2IFEyNiA1OCA0NiA0NiBRNjIgMzggNzAgNTIgUTc2IDY0IDYyIDY4IiBmaWxsPSJub25lIiBzdHJva2U9IiNmZmYiIHN0cm9rZS13aWR0aD0iOCIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIi8+PGNpcmNsZSBjeD0iNjIiIGN5PSI2OCIgcj0iOCIgZmlsbD0iI2ZmZiIvPjwvc3ZnPg=="> <img alt="Mengram" src="https://img.shields.io/badge/Mengram-a855f7?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxMjAgMTIwIj48cGF0aCBkPSJNNjAgMTYgUTkyIDE2IDk2IDQ4IFExMDAgNzggNzIgODggUTUwIDk2IDM4IDc2IFEyNiA1OCA0NiA0NiBRNjIgMzggNzAgNTIgUTc2IDY0IDYyIDY4IiBmaWxsPSJub25lIiBzdHJva2U9IiNmZmYiIHN0cm9rZS13aWR0aD0iOCIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIi8+PGNpcmNsZSBjeD0iNjIiIGN5PSI2OCIgcj0iOCIgZmlsbD0iI2ZmZiIvPjwvc3ZnPg=="> </picture> ### Give your AI agents memory that actually learns [![GitHub stars](https://img.shields.io/github/stars/alibaizhanov/mengram?style=social)](https://github.com/alibaizhanov/mengram/stargazers) [![PyPI](https://img.shields.io/pypi/v/mengram-ai)](https://pypi.org/project/mengram-ai/) [![npm](https://img.shields.io/npm/v/mengram-ai)](https://www.npmjs.com/package/mengram-ai) [![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE) [![PyPI Downloads](https://img.shields.io/pypi/dm/mengram-ai)](https://pypi.org/project/mengram-ai/) [![Last commit](https://img.shields.io/github/last-commit/alibaizhanov/mengram)](https://github.com/alibaizhanov/mengram/commits/main) **[Website](https://mengram.io)** · **

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Data from GitHub. Synced on 2026-06-23