AgentIndex icon
AgentIndex
multi-agent-memory logo
multi-agent-memory
★ 64
vs
Zengram logo
Zengram
★ 64

multi-agent-memory vs Zengram

multi-agent-memory: Multi-Agent Memory is a cross-machine, cross-agent persistent memory system for AI agents. It provides a shared brain that works across machines, tools, and frameworks, allowing agents to store and recall facts, events, statuses, and decisions. Features include typed memory, entity extraction, LLM consolidation, credential scrubbing, and agent isolation.; 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

multi-agent-memory logo
multi-agent-memoryMemory & Context · ★ 64

Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines

Read multi-agent-memory full review →
Zengram logo
ZengramMemory & Context · ★ 64

Cross-agent memory sharing across different machines

Read Zengram full review →
02

Side-by-Side Comparison

Field
multi-agent-memory logomulti-agent-memory
Zengram logoZengram
Category
Memory & Context
Memory & Context
Stars
★ 64
★ 64
License
MIT
MIT
Install Command
git clone https://github.com/ZenSystemAI/multi-agent-memory.git && cd multi-agent-memory && cp .env.example .env && docker compose up -d
git clone https://github.com/ZenSystemAI/zengram.git && cd zengram && cp .env.example .env && docker compose up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
claude, cursor, deduplication
claude, claude-ai, claude-code
03

Features

multi-agent-memory logomulti-agent-memory
01Typed memory with mutation semantics (event, fact, status, decision)
02Entity extraction and linking with fast and smart paths
03Credential scrubbing before storage
04Agent isolation and API gatekeeping
05Session briefings for catching up on changes
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

multi-agent-memory logomulti-agent-memory
↳Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines
↳Persisting knowledge across sessions for autonomous agents
↳Centralized memory for multi-agent workflows and automation
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 multi-agent-memory and Zengram?
Both multi-agent-memory and Zengram are in the Memory & Context category. multi-agent-memory has 64 stars, while Zengram has 64 stars.
Which is better, multi-agent-memory or Zengram?
The best choice depends on your use case. Choose multi-agent-memory if Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines, and Zengram if Cross-agent memory sharing across different machines.
Is multi-agent-memory free or open source?
Yes, multi-agent-memory is open source on GitHub (MIT).
Is Zengram free or open source?
Yes, Zengram is open source on GitHub (MIT).
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Related

Alternatives to multi-agent-memory →Alternatives to Zengram →multi-agent-memory details →Zengram details →