AgentIndex icon
AgentIndex
mcp-memory-server logo
mcp-memory-server
★ 27
vs
Perenna logo
Perenna
★ 61

mcp-memory-server vs Perenna

mcp-memory-server: Mnemoverse is a hosted memory server for AI agents, designed to learn from interactions and manage context across multiple AI tools. It offers persistent memory that improves with use, allowing agents to retain information across sessions, projects, and platforms without re-explaining context.; Perenna: Perenna provides a lightweight, Git-backed permanent memory solution for various AI agents, enabling them to share durable memories without vendor lock-in. It stores human-readable Markdown in a Git repository and uses a local Vexor index for retrieval, ensuring memory persistence across different agents and machines.

01

TL;DR

mcp-memory-server logo
mcp-memory-serverMemory & Context · ★ 27

Remember user preferences (e.g., dark mode, preferred frameworks)

Read mcp-memory-server full review →
Perenna logo
PerennaMemory & Context · ★ 61

Sharing durable memories across different AI agents like Claude Code, Codex, ChatGPT, and Cursor.

Read Perenna full review →
02

Side-by-Side Comparison

Field
mcp-memory-server logomcp-memory-server
Perenna logoPerenna
Category
Memory & Context
Memory & Context
Stars
★ 27
★ 61
License
MIT
MIT
Install Command
claude mcp add mnemoverse -e MNEMOVERSE_API_KEY=mk_live_YOUR_KEY -e MNEMOVERSE_API_URL=https://core.mnemoverse.com/api/v1 -- npx -y @mnemoverse/mcp-memory-server@latest
uv tool install perenna
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory, Context Management, Agent Tooling
AI Memory, Agent Tooling, Git-backed Storage
03

Features

mcp-memory-server logomcp-memory-server
01Store memories (insights, preferences, lessons learned)
02Search memories by natural language query
03Rate memories as helpful or not to improve future recall
04Delete specific memories or wipe entire memory domains
Perenna logoPerenna
01Git-backed permanent memory storage in human-readable Markdown.
02Local Vexor retrieval index that can always be rebuilt from Git.
03Support for various AI agents and MCP clients to share memory.
04Self-hosted with no account or proprietary cloud lock-in.
05Cross-process locking for multiple local agent processes.
04

Use Cases

mcp-memory-server logomcp-memory-server
↳Remember user preferences (e.g., dark mode, preferred frameworks)
↳Store project context (e.g., tech stack, deployment strategy)
↳Record lessons learned and past mistakes for future reference
↳Track decisions made during development or planning
Perenna logoPerenna
↳Sharing durable memories across different AI agents like Claude Code, Codex, ChatGPT, and Cursor.
↳Self-hosting a private and controllable AI agent memory service.
↳Inspecting, editing, versioning, and backing up AI agent memories.
↳Ensuring AI agent memory persistence when switching between agents or machines.
FAQ

FAQ

What is the difference between mcp-memory-server and Perenna?
Both mcp-memory-server and Perenna are in the Memory & Context category. mcp-memory-server has 27 stars, while Perenna has 61 stars.
Which is better, mcp-memory-server or Perenna?
The best choice depends on your use case. Choose mcp-memory-server if Remember user preferences (e.g., dark mode, preferred frameworks), and Perenna if Sharing durable memories across different AI agents like Claude Code, Codex, ChatGPT, and Cursor..
Is mcp-memory-server free or open source?
Yes, mcp-memory-server is open source on GitHub (MIT).
Is Perenna free or open source?
Yes, Perenna is open source on GitHub (MIT).
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