darktw/usecortex-mcp
by Various
UseCortex MCP Server — Give your AI coding agent a persistent memory. Read and write knowledge from any tool.
MCP
darktw/usecortex-mcp
Added 1 June 2026
Overview
UseCortex MCP Server provides a persistent memory layer for AI coding agents. It allows reading and writing knowledge from any tool that supports the Model Context Protocol. The server is written in JavaScript and is available on GitHub.
Best for
Best for
Developers building AI coding agents that need a lightweight persistent memory solution
Use cases
- Give an AI coding agent persistent memory across sessions
- Store and retrieve context or knowledge from any MCP-compatible tool
- Enable AI agents to remember user preferences or project details
Notes
UseCortex MCP Server provides a persistent memory layer for AI coding agents. It allows reading and writing knowledge from any tool that supports the Model Context Protocol. The server is written in JavaScript and is available on GitHub.
0 stars on GitHub. Last updated 2026-03-17. Licensed MIT.
Use cases
- Give an AI coding agent persistent memory across sessions
- Store and retrieve context or knowledge from any MCP-compatible tool
- Enable AI agents to remember user preferences or project details
Pros
- Provides persistent memory for AI agents without external databases
- Works with any tool that supports the Model Context Protocol
- Simple read/write interface for knowledge storage
Cons
- Zero stars on GitHub indicates very limited adoption or early stage
- Lack of community support or documentation may hinder troubleshooting
- Unproven reliability and potential instability due to low usage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides persistent memory for AI agents without external databases
- Works with any tool that supports the Model Context Protocol
- Simple read/write interface for knowledge storage
Cons
- Zero stars on GitHub indicates very limited adoption or early stage
- Lack of community support or documentation may hinder troubleshooting
- Unproven reliability and potential instability due to low usage
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