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mengram MCP Server

alibaizhanov/mengram

Score: 63.7 Rank #5333 Search & RAG
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Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

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claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

alibaizhanov/mengram is a Python tool licensed under Apache-2.0. Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations. Topics: ai-agents, ai-memory, episodic-memory, mcp-server, procedural-memory, rag, agent-memory, claude-desktop, cognitive-architecture, cohere, cursor-ai, knowledge-graph, letta-alternative, llm-memory, mem0-alternative, model-context-protocol, multilingual-embeddings, pgvector, python, semantic-search.

Ranked #5333 out of 24846 indexed tools.

Ecosystem

Python Apache-2.0 38 pypi/wk
ai-agentsai-memoryepisodic-memorymcp-serverprocedural-memoryragagent-memoryclaude-desktopcognitive-architecturecoherecursor-aiknowledge-graphletta-alternativellm-memorymem0-alternativemodel-context-protocolmultilingual-embeddingspgvectorpythonsemantic-search

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 204

204 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 46%

21/46 issues closed → many open issues

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 38/wk

38 weekly installs → early adoption

Forks 36
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 56 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 25 open vs 21 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for alibaizhanov/mengram
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Matched Queries

topic:mcp-servertopic:model-context-protocol

From the README

<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==">
  
</picture>

### Give your AI agents memory that actually learns

**[Website](https://mengram.io)** · **[Get API Key](https://mengram.io/#signup)** · **[Docs](https://mengram.io/docs)** · **[Console](https://mengram.io/dashboard)** · **[Examples](examples/)**

</div>

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

mengram try              # see what memory would know about you — local only,
                         # no accou
Read full README on GitHub →

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