Centralaizer

by lestercoyoyjr · ai-ml · mcp-server, glama

Medium setupBest for hobbyTrust score 12/100

A local-first, privacy-preserving centralized memory hub for AI agents — MCP-compatible, zero cloud egress.

Source: https://github.com/lestercoyoyjr/Centralaizer-public

Install

git clone https://github.com/lestercoyoyjr/Centralaizer-public

Use this forAI-extracted

  • Store and retrieve conversation context across multiple AI agent sessions without sending data to cloud services
  • Maintain persistent knowledge bases and memory artifacts locally for multi-turn AI workflows
  • Integrate privacy-preserving centralized memory into MCP-compatible AI coding agents

Works with

Claude CodeClaude Desktop

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

Centralaizer is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install Centralaizer?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support Centralaizer?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is Centralaizer free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.