by mordang7 · MCP Server · ★ 156
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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
| Stars | 156 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 65.5205672327872/100 |
| Last Updated | 2026-06-17 |
| Created | 2025-11-30 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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ContextKeep is Infinite Long-Term Memory for AI Agents (MCP Server). It is categorized as a MCP Server with 156 GitHub stars.
ContextKeep is primarily written in Python. It covers topics such as agent, ai, context.
You can find installation instructions and usage details in the ContextKeep GitHub repository at github.com/mordang7/ContextKeep. The project has 156 stars and 36 forks, indicating an active community.
The top alternatives to ContextKeep on Agent Skills Hub include OpenContext, memov, Sentient. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.