rms-memory-mcp
Active·★ 40·MIT·Updated 2026-10-15
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.
#AI Memory#Context Management#Local-first#RAG System#Code Agents#Rust#Vector Search#IDE Integration
01
Features
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.
02
Compatibility
Rust
Runtime
Verified via docs
macOS
OS
Verified via docs
Linux
OS
Verified via docs
Windows
OS
Verified via docs
Cursor
IDE
Verified via docs
Zed
IDE
Verified via docs
03
Quick start
1
$ brew tap max-ramas/tap
2
$ brew install rms-memory-mcp
04
Use cases
↳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.
05
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