AgentIndex icon
AgentIndex
hmem logo
hmem
★ 24
vs
multi-agent-memory logo
multi-agent-memory
★ 64

hmem vs multi-agent-memory

hmem: hmem is a memory system for AI agents that persists project context across sessions, devices, and AI providers. It uses a 5-level lazy loading architecture to minimize token usage while retaining full details. It supports auto-logging, background checkpoints, and cross-platform sync.; 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.

01

TL;DR

hmem logo
hmemMemory & Context · ★ 24

AI coding assistants that need to maintain project context across sessions

Read hmem full review →
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 →
02

Side-by-Side Comparison

Field
hmem logohmem
multi-agent-memory logomulti-agent-memory
Category
Memory & Context
Memory & Context
Stars
★ 24
★ 64
License
MIT
MIT
Install Command
npm install -g hmem-mcp && npx hmem init
git clone https://github.com/ZenSystemAI/multi-agent-memory.git && cd multi-agent-memory && cp .env.example .env && docker compose up -d
Updated
3mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-tools, claude
claude, cursor, deduplication
03

Features

hmem logohmem
015-level lazy loading to minimize token usage
02Automatic session logging and background checkpoints via Haiku
03Cross-provider and cross-tool support
04Project-based memory organization
05Encrypted sync across devices
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
04

Use Cases

hmem logohmem
↳AI coding assistants that need to maintain project context across sessions
↳Multi-device workflow where different agents continue the same project
↳Knowledge management for personal AI assistants
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
FAQ

FAQ

What is the difference between hmem and multi-agent-memory?
Both hmem and multi-agent-memory are in the Memory & Context category. hmem has 24 stars, while multi-agent-memory has 64 stars.
Which is better, hmem or multi-agent-memory?
The best choice depends on your use case. Choose hmem if AI coding assistants that need to maintain project context across sessions, and multi-agent-memory if Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines.
Is hmem free or open source?
Yes, hmem is open source on GitHub (MIT).
Is multi-agent-memory free or open source?
Yes, multi-agent-memory is open source on GitHub (MIT).
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Related

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