AgentIndex icon
AgentIndex
hmem logo
hmem
★ 24
vs
blender-ai-mcp logo
blender-ai-mcp
★ 65

hmem vs blender-ai-mcp

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.; blender-ai-mcp: blender-ai-mcp is a production-shaped MCP server that allows AI clients like Claude, ChatGPT, and Codex to control Blender through a stable, curated tool API. It replaces ad-hoc Python script generation with goal-first routing, deterministic inspection, and safe execution boundaries, enabling more reliable AI-assisted 3D modeling workflows.

01

TL;DR

hmem logo
hmemMemory & Context · ★ 24

AI coding assistants that need to maintain project context across sessions

Read hmem full review →
blender-ai-mcp logo
blender-ai-mcpVision / Multimodal · ★ 65

AI-guided modeling workflows with goal setting and macro tools

Read blender-ai-mcp full review →
02

Side-by-Side Comparison

Field
hmem logohmem
blender-ai-mcp logoblender-ai-mcp
Category
Memory & Context
Vision / Multimodal
Stars
★ 24
★ 65
License
MIT
Apache-2.0
Install Command
npm install -g hmem-mcp && npx hmem init
docker pull ghcr.io/patrykiti/blender-ai-mcp:latest
Updated
3mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-tools, claude
3d-modeling, ai-agents, ai-tools
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
blender-ai-mcp logoblender-ai-mcp
01Stable tool API with validated parameters instead of raw bpy scripts
02Goal-first orchestration that keeps sessions anchored to an active intent
03Small, search-first public surface for AI clients
04Truth-first verification through inspection, measurement, and assertion tools
05Safe execution boundaries with Blender addon on main thread and MCP server for routing
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
blender-ai-mcp logoblender-ai-mcp
↳AI-guided modeling workflows with goal setting and macro tools
↳Automated scene inspection and verification using measurement and assertion tools
↳Reference-guided creative builds with iterative comparison and correction
FAQ

FAQ

What is the difference between hmem and blender-ai-mcp?
Both hmem and blender-ai-mcp are in the Memory & Context category. hmem has 24 stars, while blender-ai-mcp has 65 stars.
Which is better, hmem or blender-ai-mcp?
The best choice depends on your use case. Choose hmem if AI coding assistants that need to maintain project context across sessions, and blender-ai-mcp if AI-guided modeling workflows with goal setting and macro tools.
Is hmem free or open source?
Yes, hmem is open source on GitHub (MIT).
Is blender-ai-mcp free or open source?
Yes, blender-ai-mcp is open source on GitHub (Apache-2.0).
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Related

Alternatives to hmem →Alternatives to blender-ai-mcp →hmem details →blender-ai-mcp details →