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AgentIndex
mcp-memory-service logo
mcp-memory-service
★ 2.0k
vs
engram logo
engram
★ 163

mcp-memory-service vs engram

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.; engram: Engram is a local identity layer for AI tools that stores your profile, preferences, lessons learned, and key decisions as local JSON files. It exposes them through MCP so every AI tool reads the same context, persisting across sessions, tool updates, and switches. 100% local and open source.

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.
Read mcp-memory-service full review →
engram logo
engramMemory & Context · ★ 163

Developers: Maintain quality standards, architecture decisions, and lessons across projects.

Read engram full review →
02

Side-by-Side Comparison

Field
mcp-memory-service logomcp-memory-service
engram logoengram
Category
Memory & Context
Memory & Context
Stars
★ 2.0k
★ 163
License
Apache-2.0
Apache-2.0
Install Command
pip install mcp-memory-service
pip install piia-engram
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory, Context Management, Developer Tools
ai-agent, ai-identity, ai-memory
03

Features

mcp-memory-service logomcp-memory-service
01Persistent Memory
02Smart Retrieval
03Multi-Client Compatibility
04Cloud Sync (Optional)
05Web Dashboard
engram logoengram
01Cross-tool identity sharing
02Local-first, private data
03MCP-compatible
04Knowledge inheritance across projects
05Passive knowledge capture
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.
engram logoengram
↳Developers: Maintain quality standards, architecture decisions, and lessons across projects.
↳Investment analysts: Store reasoning chains for decisions across analyses.
↳System architects: Keep Architecture Decision Records that persist across companies.
05

Best For

mcp-memory-service logomcp-memory-service
EssentialTrending
engram logoengram
—
FAQ

FAQ

What is the difference between mcp-memory-service and engram?
Both mcp-memory-service and engram are in the Memory & Context category. mcp-memory-service has 2.0k stars, while engram has 163 stars.
Which is better, mcp-memory-service or engram?
The best choice depends on your use case. Choose mcp-memory-service if Maintaining AI context across multiple development sessions., and engram if Developers: Maintain quality standards, architecture decisions, and lessons across projects..
Is mcp-memory-service free or open source?
Yes, mcp-memory-service is open source on GitHub (Apache-2.0).
Is engram free or open source?
Yes, engram is open source on GitHub (Apache-2.0).
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