AgentIndex icon
AgentIndex
mengram logo
mengram
★ 204
vs
Zengram logo
Zengram
★ 64

mengram vs Zengram

mengram: Mengram is an AI memory layer that enables agents to remember facts, events, and workflows, with procedures automatically improving from failures. It uniquely stores semantic, episodic, and procedural memory, offering experience-driven evolution for AI agents.; Zengram: Zengram is a shared memory system for multi-agent AI systems, enabling agents to store and retrieve memories across machines. It features typed memory, dual storage (Qdrant + SQLite/Postgres), multi-path search, and cross-agent capabilities like briefings and corroboration. Self-hosted, open-source, with MCP server and SDKs.

01

TL;DR

mengram logo
mengramMemory & Context · ★ 204

Building intelligent AI agents that learn and adapt from real-world outcomes.

Read mengram full review →
Zengram logo
ZengramMemory & Context · ★ 64

Cross-agent memory sharing across different machines

Read Zengram full review →
02

Side-by-Side Comparison

Field
mengram logomengram
Zengram logoZengram
Category
Memory & Context
Memory & Context
Stars
★ 204
★ 64
License
Apache-2.0
MIT
Install Command
pip install mengram-ai
git clone https://github.com/ZenSystemAI/zengram.git && cd zengram && cp .env.example .env && docker compose up -d
Updated
2d ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Layer, Procedural Memory
claude, claude-ai, claude-code
03

Features

mengram logomengram
01Stores Semantic, Episodic, and Procedural Memory types.
02Experience-Driven Evolution: Procedures automatically improve when they fail.
03Cognitive Profile generation for personalized LLM system prompts.
04Multi-User Isolation: Separate memory spaces for individual users in multi-tenant applications.
05Import existing data from ChatGPT, Obsidian, or text files to avoid cold-start problems.
Zengram logoZengram
01Typed memory: events, facts, statuses, decisions
02Dual storage with semantic and structured search
03Multi-path search (vector, BM25, entity graph) with RRF fusion
04Cross-agent capabilities: briefings, corroboration, credential scrubbing
05Self-hosted, open-source, with MCP server and SDKs
04

Use Cases

mengram logomengram
↳Building intelligent AI agents that learn and adapt from real-world outcomes.
↳Enhancing DevOps agents by enabling procedures to evolve from deployment failures.
↳Creating personalized customer support agents that remember returning customers and their history.
↳Personalizing LLM interactions and responses using a dynamically generated cognitive profile.
↳Developing multi-tenant applications where each user requires an isolated and persistent memory space.
Zengram logoZengram
↳Cross-agent memory sharing across different machines
↳Session reflection and context retrieval for agents
↳Logging memories from automation tools (e.g., n8n) for AI agents
FAQ

FAQ

What is the difference between mengram and Zengram?
Both mengram and Zengram are in the Memory & Context category. mengram has 204 stars, while Zengram has 64 stars.
Which is better, mengram or Zengram?
The best choice depends on your use case. Choose mengram if Building intelligent AI agents that learn and adapt from real-world outcomes., and Zengram if Cross-agent memory sharing across different machines.
Is mengram free or open source?
Yes, mengram is open source on GitHub (Apache-2.0).
Is Zengram free or open source?
Yes, Zengram is open source on GitHub (MIT).
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Related

Alternatives to mengram →Alternatives to Zengram →mengram details →Zengram details →