freshcrate
Home > MCP Servers > mnemos-mcp

mnemos-mcp

🧠 Transform documentation chaos into a structured memory system with Mnemos, your self-hosted, multi-context knowledge server for developers.

Description

🧠 Transform documentation chaos into a structured memory system with Mnemos, your self-hosted, multi-context knowledge server for developers.

README

🧠 mnemos-mcp - Your Private Knowledge Server Made Easy

🚀 Getting Started

Welcome to mnemos-mcp! This application helps you transform documents into searchable knowledge. With features like multi-collection isolation and local vector search, you can keep your data private and accessible. Follow these simple steps to download and run mnemos-mcp on your system.

📥 Download Now

Download mnemos-mcp

🔍 Features

  • Multi-Collection Isolation: Keep different topics separate for better organization.
  • Deterministic Ingestion: Ensure consistent results every time you add documents.
  • Local Vector Search: Find information quickly without relying on external servers.
  • 100% Private: Your data remains on your machine; no third parties involved.
  • Zero Vendor Lock-in: Use the features without being tied to any specific provider.

🖥️ System Requirements

To run mnemos-mcp effectively, ensure your system meets the following requirements:

  • Operating System: Windows 10 or later, macOS, or a recent Linux distribution.
  • RAM: At least 4GB of RAM. More recommended for larger collections.
  • CPU: Modern multi-core processor.
  • Disk Space: Minimum of 200MB free space for installation. Additional space will be needed for documents and search index.

📂 Download & Install

  1. Visit the Releases Page: Go to our Releases page to find the latest version of mnemos-mcp.

  2. Download the Latest Version: On the Releases page, look for the latest release. Download the version that matches your operating system.

  3. Install the Application: Follow the installation instructions relevant to your OS:

  4. Run the Application: After installation completes, open mnemos-mcp from your applications menu or double-click the icon.

  5. Initial Setup: Upon your first run, follow the setup wizard to configure basic settings and create your first collection.

⚙️ Using mnemos-mcp

Once you have installed mnemos-mcp, you can start adding your documents:

  1. Create a Collection: Click on "New Collection" to organize your documents by topic or category.

  2. Add Documents: Use the "Add Documents" button to upload files. You can add PDFs, Word documents, or text files.

  3. Search: Type any keyword related to your documents in the search bar. The application will display results matching your query quickly.

  4. Manage Collections: Revisit your collections to add more documents or edit existing ones.

  5. Backup Your Data: Regularly back up your collections to avoid data loss. Use the export feature in the settings menu.

📘 Support & Documentation

To get help or find more information about using mnemos-mcp, check our Wiki. The wiki contains detailed guides on features, troubleshooting, and tips to maximize your experience.

If you encounter any issues or have questions not covered in the Wiki, feel free to open an issue on our GitHub repository.

💬 Community & Feedback

We value your feedback. Join our community on Discord to share your experiences, ask questions, or suggest new features. Your input helps us improve the application.

📣 Additional Resources

Download mnemos-mcp

Thank you for choosing mnemos-mcp! Enjoy building your private knowledge server.

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found — using repo HEADHigh4/9/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

MARM-SystemsTurn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Buimcp-server
refrag🚀 Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.main@2026-04-21
Cognio🧠 Enhance AI conversations with Cognio, a persistent memory server that retains context and enables meaningful semantic search across sessions.main@2026-04-21
MCP---Agent-Starter-Kit🚀 Build and explore multi-agent AI workflows with ready-to-use projects for document serving, Q/A bots, and orchestration.main@2026-04-21
notebooklm-pyProvide full Python API access to NotebookLM features, including advanced functions beyond the web interface, via CLI and AI agent integration.main@2026-04-21