CogniRelay

v1.4.14Knowledge & Memorystable

Self-hosted agent continuity server with bounded, recoverable memory and restart orientation.

io-github-stef-k-cognirelaymcpai-integration
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What is CogniRelay?

CogniRelay is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to self-hosted agent continuity server with bounded, recoverable memory and restart orientation.

Self-hosted agent continuity server with bounded, recoverable memory and restart orientation.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Self-hosted agent continuity server with bounded, recoverabl

Use Cases

Maintain agent memory across restarts with bounded, recoverable state. Resume operations from saved context.
Community

Maintainer

LicenseMIT
Languagepython
Versionv1.4.14
UpdatedMay 8, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install cognirelay

Manual Installation

pip install cognirelay

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about CogniRelay

What is CogniRelay?

CogniRelay is a Model Context Protocol (MCP) server that self-hosted agent continuity server with bounded, recoverable memory and restart orientation. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install CogniRelay?

Install via pip with: pip install cognirelay. Then configure your AI client to connect to this MCP server.

Which AI clients work with CogniRelay?

CogniRelay works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is CogniRelay free to use?

Yes, CogniRelay is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-stef-k-cognirelay": { "command": "pip", "args": ["install", "cognirelay"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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