AgentIndex icon
AgentIndex
MCP-memento logo
MCP-memento
★ 11
vs
sense logo
sense
★ 40

MCP-memento vs sense

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.; sense: Sense is an MCP server designed to provide AI coding agents with a deep structural understanding of codebases. It indexes repositories locally, offering tools like symbol graph, semantic code search, and convention detection to enhance agent efficiency and accuracy.

01

TL;DR

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

Enhancing AI agent performance with rich, persistent code context.

Read MCP-memento full review →
sense logo
senseMemory & Context · ★ 40

Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs.

Read sense full review →
02

Side-by-Side Comparison

Field
MCP-memento logoMCP-memento
sense logosense
Category
Memory & Context
Memory & Context
Stars
★ 11
★ 40
License
MIT
MIT
Install Command
git clone https://github.com/caiowilson/MCP-memento.git && cd MCP-memento && make build
curl -fsSL https://luuuc.github.io/sense/install.sh | sh
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Code Indexing, Semantic Search
AI Coding Agents, Codebase Context, Symbol Graph
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.
sense logosense
01Provides symbol relationships, callers, callees, inheritance, tests, and dead code detection via `sense_graph`.
02Offers hybrid semantic code search (`sense_search`) with bi-encoder, cross-encoder, keyword, and text fallback.
03Calculates blast radius, affected code, affected tests, and risk score using `sense_blast`.
04Detects project-specific coding conventions from source via `sense_conventions` for style adherence.
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.
sense logosense
↳Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs.
↳Reduce AI agent tool calls, token usage, and session time, leading to significant cost and time savings for code-related tasks.
↳Help AI agents write code that adheres to specific project conventions and styles, improving code quality and consistency.
↳Perform advanced code analysis such as identifying dead code or understanding the blast radius of changes.
FAQ

FAQ

What is the difference between MCP-memento and sense?
Both MCP-memento and sense are in the Memory & Context category. MCP-memento has 11 stars, while sense has 40 stars.
Which is better, MCP-memento or sense?
The best choice depends on your use case. Choose MCP-memento if Enhancing AI agent performance with rich, persistent code context., and sense if Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs..
Is MCP-memento free or open source?
Yes, MCP-memento is open source on GitHub (MIT).
Is sense free or open source?
Yes, sense is open source on GitHub (MIT).
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