AgentIndex icon
AgentIndex
mcp-local-memory logo
mcp-local-memory
★ 60
vs
ctxd logo
ctxd
★ 59

mcp-local-memory vs ctxd

mcp-local-memory: mcp-local-memory is a local-first MCP server designed to provide AI agents with shared, durable memory without relying on Docker or cloud services. It achieves this through a powerful combination of hybrid semantic search, SQLite FTS5, and a structured knowledge graph, supporting features like temporal recall and adaptive ranking.; ctxd: ctxd provides a Python SDK and CLI for its cloud context infrastructure, designed for AI agents. It connects to, parses, indexes, and syncs content from various cloud applications like Google Drive, Slack, and GitHub, allowing permission-aware searching through a unified index.

01

TL;DR

mcp-local-memory logo
mcp-local-memoryMemory & Context · ★ 60

Provide persistent and shared memory for AI agents in local environments.

Read mcp-local-memory full review →
ctxd logo
ctxdMemory & Context · ★ 59

Providing context infrastructure for AI agents.

Read ctxd full review →
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
ctxd logoctxd
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 59
License
MIT
MIT
Install Command
npm install -g @beledarian/mcp-local-memory@2
pip install ctxd
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Management, Knowledge Graph
Python SDK, CLI, AI Agents
03

Features

mcp-local-memory logomcp-local-memory
01Shared memory across multiple AI agents
02Hybrid semantic and keyword recall
03Structured knowledge graph for context management
04Temporal memory recall with natural language dates
05Adaptive memory ranking based on multiple factors
ctxd logoctxd
01Connects to cloud files and data across multiple applications (e.g., Google Drive, Slack, GitHub).
02Parses, indexes, and syncs content for unified search.
03Provides a permission-aware search index.
04Offers both synchronous and asynchronous Python clients.
05Supports flexible authentication methods including API keys and interactive login.
04

Use Cases

mcp-local-memory logomcp-local-memory
↳Provide persistent and shared memory for AI agents in local environments.
↳Build knowledge bases and manage context for complex AI applications.
↳Facilitate local-first AI agent development and testing without external dependencies.
↳Serve as a centralized memory server for distributed AI agent systems via HTTP/SSE.
ctxd logoctxd
↳Providing context infrastructure for AI agents.
↳Searching documents and data across various connected cloud applications.
↳Automating data retrieval and context fetching in scripts and headless environments.
↳Integrating cloud-based information into custom applications using Python SDK.
FAQ

FAQ

What is the difference between mcp-local-memory and ctxd?
Both mcp-local-memory and ctxd are in the Memory & Context category. mcp-local-memory has 60 stars, while ctxd has 59 stars.
Which is better, mcp-local-memory or ctxd?
The best choice depends on your use case. Choose mcp-local-memory if Provide persistent and shared memory for AI agents in local environments., and ctxd if Providing context infrastructure for AI agents..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is ctxd free or open source?
Yes, ctxd is open source on GitHub (MIT).
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Related

Alternatives to mcp-local-memory →Alternatives to ctxd →mcp-local-memory details →ctxd details →