ContextKeep

by mordang7 · MCP Server · ★ 156

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

agentaicontextmcpmemorypython

Quick Facts

Stars156
Forks38
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67.2226912420111/100
Open Issues1
Last Updated2026-09-18
Created2025-11-30
Platformsmcp, python
Est. Tokens~16k

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 156 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 156 stars and 38 forks, indicating an active community.

What license does ContextKeep use?

ContextKeep is released under the MIT license, making it free to use and modify according to the license terms.

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