ContextKeep

About ContextKeep

ContextKeep 🧠 Infinite Long-Term Memory for AI Agents ContextKeep is a powerful, standalone memory server that gives your AI agents (Claude, Cursor, Gemini, OpenCode, and more) a persistent, searchable brain. Stop repeating yourself — let your AI remember everything, permanently. Features • [What's New in

agent ai context mcp memory python

Quick Facts

Stars	141
Forks	33
Language	Python
Category	MCP Server
Quality Score	50.8/100
Last Updated	2026-04-07
Created	2025-11-30
Platforms	mcp, python
Est. Tokens	~1604k

Compatible Skills

These tools work well together with ContextKeep for enhanced workflows:

powermem — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
emergent — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)
memsearch — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (56%)
speechless — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is ContextKeep?

ContextKeep is Infinite Long-Term Memory for AI Agents (MCP Server). It is categorized as a MCP Server with 141 GitHub stars.

What programming language is ContextKeep written in?

ContextKeep is primarily written in Python. It covers topics such as agent, ai, context.

How do I install or use ContextKeep?

You can find installation instructions and usage details in the ContextKeep GitHub repository at github.com/mordang7/ContextKeep. The project has 141 stars and 33 forks, indicating an active community.

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