AgentIndex icon
AgentIndex
memorix logo
memorix
★ 854
vs
rms-memory-mcp logo
rms-memory-mcp
★ 40

memorix vs rms-memory-mcp

memorix: Memorix is a cross-agent memory bridge that prevents AI assistants from losing context across sessions and different development environments. It offers persistent local memory, workspace synchronization, and auto-generated project skills to enhance developer productivity.; rms-memory-mcp: RMS Memory MCP provides persistent, local-first memory for AI coding agents, centralizing architectural decisions and user preferences in a structured Markdown vault. It bridges the context gap between different AI IDEs, preventing repetitive re-explanation and maintaining a unified knowledge base for development projects.

01

TL;DR

memorix logo
memorixMemory & Context · ★ 854

Ensuring AI remembers past architectural decisions and conversations across sessions.

Read memorix full review →
rms-memory-mcp logo
rms-memory-mcpMemory & Context · ★ 40

Maintaining consistent architectural context and user preferences across different AI coding IDEs.

Read rms-memory-mcp full review →
02

Side-by-Side Comparison

Field
memorix logomemorix
rms-memory-mcp logorms-memory-mcp
Category
Memory & Context
Memory & Context
Stars
★ 854
★ 40
License
Apache-2.0
MIT
Install Command
npx -y memorix@latest serve
brew tap max-ramas/tap && brew install rms-memory-mcp
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory, Context Management, Cross-Agent
AI Memory, Context Management, Local-first
03

Features

memorix logomemorix
01Smart memory system with token-efficient progressive disclosure and hybrid search (BM25 + vector).
02Cross-agent workspace synchronization for configs, rules, skills, and workflows across multiple IDEs.
03Persistent knowledge graph with 9 observation types, compatible with MCP Official Memory Server.
04Interactive web-based Visual Dashboard with D3.js knowledge graph, observation browser, and retention panel.
05Auto-memory hooks for automatically capturing decisions, gotchas, and problem-solutions from coding sessions.
rms-memory-mcp logorms-memory-mcp
01Global Centralized Vaults for project context outside the repository.
02Hybrid retrieval combining embedded vector search and full-text search.
03Semantic code memory with Tree-sitter indexing for multiple languages.
04Dynamic auto-installer for seamless integration with multiple IDEs.
05AST-aware Markdown chunking to maintain context within code blocks and lists.
04

Use Cases

memorix logomemorix
↳Ensuring AI remembers past architectural decisions and conversations across sessions.
↳Facilitating seamless knowledge transfer and collaboration between different AI agents/IDEs.
↳Preventing recurring bugs and pitfalls by automatically injecting 'gotchas' into AI context.
↳Synchronizing AI assistant configurations, rules, and skills across various development environments.
↳Automatically generating project skills and documentation for faster onboarding of new team members or agents.
rms-memory-mcp logorms-memory-mcp
↳Maintaining consistent architectural context and user preferences across different AI coding IDEs.
↳Providing a persistent, centralized knowledge vault for AI agents to query and update.
↳Proactively capturing and persisting architectural decisions, constraints, and solutions to complex problems.
↳Ensuring session continuity by saving and loading development checkpoints during coding tasks.
↳Gaining a structured overview of project context, including recent notes and active checkpoints.
FAQ

FAQ

What is the difference between memorix and rms-memory-mcp?
Both memorix and rms-memory-mcp are in the Memory & Context category. memorix has 854 stars, while rms-memory-mcp has 40 stars.
Which is better, memorix or rms-memory-mcp?
The best choice depends on your use case. Choose memorix if Ensuring AI remembers past architectural decisions and conversations across sessions., and rms-memory-mcp if Maintaining consistent architectural context and user preferences across different AI coding IDEs..
Is memorix free or open source?
Yes, memorix is open source on GitHub (Apache-2.0).
Is rms-memory-mcp free or open source?
Yes, rms-memory-mcp is open source on GitHub (MIT).
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