MCP-memento logo
MCP-memento
★ 11
vs
deja-vu logo
deja-vu
★ 1.3k

MCP-memento vs deja-vu

MCP-memento: Memento-mcp is a local-first MCP server designed to provide AI agents with durable, high-signal memory for code repositories. It offers indexed code context, semantic relationships, fast search capabilities, and explicit notes that persist across sessions.; deja-vu: Deja-vu is a zero-dependency, local-first binary that indexes and makes searchable the historical sessions of various AI coding agents. It acts as a universal memory layer, allowing agents to recall past solutions and context efficiently, even from before its installation.

01

TL;DR

MCP-memento logo
MCP-mementoMemory & Context · ★ 11

Enhancing AI agent performance with rich, persistent code context.

deja-vu logo
deja-vuMemory & Context · ★ 1.3k

Reusing solutions from past agent conversations to avoid re-debugging or re-implementing.

02

Side-by-Side Comparison

Field
MCP-memento logoMCP-memento
deja-vu logodeja-vu
Category
Memory & Context
Memory & Context
Stars
★ 11
★ 1.3k
License
MIT
MIT
Install Command
git clone https://github.com/caiowilson/MCP-memento.git && cd MCP-memento && make build
curl -fsSL https://raw.githubusercontent.com/vshulcz/deja-vu/main/install.sh | sh
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Memory, Code Indexing, Semantic Search
AI Agent Memory, Session Search, Code Assistant
03

Features

MCP-memento logoMCP-memento
01Provides durable, high-signal memory for AI agents by indexing code context.
02Supports fast search and retrieval of code context based on semantic relationships.
03Stores explicit, repo-scoped notes that persist across sessions.
04Integrates with Claude Code and Claude Desktop as an MCP server.
05Offers a companion VS Code extension for installation and configuration.
deja-vu logodeja-vu
01Fast, Retroactive Session Search
02Automatic AI Agent Memory Recall
03Cross-Machine Memory Synchronization
04Seamless Agent Context Handoff
05Automated Sensitive Data Redaction
04

Use Cases

MCP-memento logoMCP-memento
↳Enhancing AI agent performance with rich, persistent code context.
↳Enabling AI-powered code search and understanding within a repository.
↳Managing and retrieving explicit notes or institutional knowledge related to specific codebases.
↳Integrating long-term memory capabilities into AI development workflows via MCP clients.
deja-vu logodeja-vu
↳Reusing solutions from past agent conversations to avoid re-debugging or re-implementing.
↳Debugging complex issues by accessing comprehensive past debugging sessions and design decisions.
↳Maintaining persistent context across different AI agents and development machines.
↳Sharing sanitized session digests with colleagues for onboarding or knowledge transfer.
↳Understanding file change history and decision-making via session blame.
FAQ

FAQ

What is the difference between MCP-memento and deja-vu?
Both MCP-memento and deja-vu are in the Memory & Context category. MCP-memento has 11 stars, while deja-vu has 1.3k stars.
Which is better, MCP-memento or deja-vu?
The best choice depends on your use case. Choose MCP-memento if Enhancing AI agent performance with rich, persistent code context., and deja-vu if Reusing solutions from past agent conversations to avoid re-debugging or re-implementing..
Is MCP-memento free or open source?
Yes, MCP-memento is open source on GitHub (MIT).
Is deja-vu free or open source?
Yes, deja-vu is open source on GitHub (MIT).
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