mcp-memory-service logo
mcp-memory-service
★ 2.0k
vs
locus logo
locus
★ 15

mcp-memory-service vs locus

mcp-memory-service: MCP Memory Service prevents AI assistants from losing context across sessions by automatically capturing project architecture, decisions, and code patterns. This ensures your AI always remembers essential information, eliminating the need for repetitive re-explanation and saving valuable development time.; locus: Locus provides persistent project-aware memory for AI coding tools, using three memory layers: structural, semantic, and episodic. It works with any MCP-compatible client and offers 14 tools and 3 resources for exploring, searching, and managing memory. Carbon Copy enables passive conversation capture for later recall.

01

TL;DR

mcp-memory-service logo
mcp-memory-serviceMemory & Context · ★ 2.0k
When to choose:
  • You use Claude Code, Claude Desktop, Cursor, VS Code or another MCP client and want chat sessions to stop starting from zero.
  • You want a choice of storage: local SQLite, Cloudflare for multi-device sync, or a hybrid.
  • You need team features: the README lists OAuth, a dashboard and document ingestion.
When to skip:
  • Your problem is codebase navigation rather than conversation memory; a code-graph tool or a project scaffold fits better.
  • You handle sensitive material and cannot put it in a persistent store, especially with cloud sync.
  • You want a short README to start from: it mixes release notes with documentation.
locus logo
locusMemory & Context · ★ 15

Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness

02

Side-by-Side Comparison

Field
mcp-memory-service logomcp-memory-service
locus logolocus
Category
Memory & Context
Memory & Context
Stars
★ 2.0k
★ 15
License
Apache-2.0
MIT
Install Command
pip install mcp-memory-service
npx -y locus-memory@latest install codex
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
AI Memory, Context Management, Developer Tools
ai-memory, claude-code, codex-cli
03

Features

mcp-memory-service logomcp-memory-service
01Persistent Memory
02Smart Retrieval
03Multi-Client Compatibility
04Cloud Sync (Optional)
05Web Dashboard
locus logolocus
01Three memory layers: structural (auto-parsed), semantic (user-curated), episodic (auto-captured)
02Carbon Copy passive conversation capture via inbox-based event protocol
0314 MCP tools for exploring, recalling, searching, remembering, and managing memory
04FTS5 full-text search across all memory layers and conversation events
054-layer security: metadata-only, file denylist, content redaction, audit UX
04

Use Cases

mcp-memory-service logomcp-memory-service
↳Maintaining AI context across multiple development sessions.
↳Avoiding repetitive explanations of project architecture and tech stack to AI.
↳Enhancing continuous and intelligent collaboration with AI assistants.
locus logolocus
↳Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness
↳Store and retrieve important decisions and their rationale for consistent development practices
↳Passively capture conversation history from coding sessions for later search and recall
05

Best For

mcp-memory-service logomcp-memory-service
EssentialTrending
locus logolocus
—
FAQ

FAQ

What is the difference between mcp-memory-service and locus?
Both mcp-memory-service and locus are in the Memory & Context category. mcp-memory-service has 2.0k stars, while locus has 15 stars.
Which is better, mcp-memory-service or locus?
The best choice depends on your use case. Choose mcp-memory-service if Maintaining AI context across multiple development sessions., and locus if Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness.
Is mcp-memory-service free or open source?
Yes, mcp-memory-service is open source on GitHub (Apache-2.0).
Is locus free or open source?
Yes, locus is open source on GitHub (MIT).
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