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We are pleased to share a few recent milestones from the MeshKit ecosystem. While there is still plenty of work ahead, it is encouraging to see the platform continuing to mature across both the developer experience and end-user applications.
Updated the MeshKit documentation website with improved documentation, examples, and onboarding resources for new developers. https://meshkit-docs.vercel.app/
The lightweight MeshKit runtime has now been integrated into a growing suite of iOS applications.
Currently available on the Apple App Store:
Monthly Expense Tracker – Helps individuals record monthly income and expenses while providing a simple overview of spending patterns.
Investment Analysis Log – Maintains investment records, research notes, and portfolio observations in a structured format.
Personal Expense Log – A lightweight application for quickly recording everyday personal expenses.
Farming Suite(developed in collaboration with AGNTCY) – Supports digital farm management, operational records, and agricultural workflows.
Diabetic Plus – Enables users to monitor blood glucose readings, medications, and diabetes-related health information.
Blood Pressure Register – Records blood pressure measurements over time to help users and clinicians monitor trends.
Patient Sheet – Provides a digital patient record for maintaining clinical information, visit history, and treatment notes.
Medical Suite – A comprehensive healthcare application for patient management and clinical documentation.
Retail Invoice – Generates retail invoices while helping businesses manage customer and sales records.
Applications in Final Review
The following applications are currently in the final stages of App Store review:
Medical Requisition Statement – Designed to create, manage, and share medical requisition documents for laboratory tests, diagnostics, and healthcare workflows.
Requisition Statement (Repair Work Orders) – Supports the creation and tracking of repair and maintenance work orders, enabling standardized requisition and approval workflows.
These releases represent steady progress toward our broader goal of making MeshKit a lightweight, interoperable application framework that can be adopted across healthcare, finance, agriculture, retail, enterprise workflows, and AI-enabled applications. We look forward to continuing to improve the platform, expand interoperability with technologies such as IPFS, MCP, and CBOR, and work with the community on additional use cases in the months ahead.
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Dear IPFS Contributors, Maintainers, and Friends,
We are pleased to share a few recent milestones from the MeshKit ecosystem. While there is still plenty of work ahead, it is encouraging to see the platform continuing to mature across both the developer experience and end-user applications.
Developer Ecosystem
Over the past few weeks, we have:
Released the MeshKit npm modules, making it easier for JavaScript and TypeScript developers to build interoperable applications.
https://www.npmjs.com/package/@ipfs-meshkit/meshkit
Released the MeshKit MCP Server, enabling AI agents and developer tools to interact with MeshKit through the Model Context Protocol (MCP).
https://www.npmjs.com/package/@ipfs-meshkit/mcp
Updated the MeshKit documentation website with improved documentation, examples, and onboarding resources for new developers.
https://meshkit-docs.vercel.app/
Released py-ipfs-lite, a lightweight Python library for integrating IPFS into Python applications.
https://github.com/IPFS-Meshkit/py-ipfs-lite
Continued development of an early-stage MeshKit Test Bed for Distributed Quantum Services.
https://ipfs-meshkit.vercel.app/
iOS Applications
The lightweight MeshKit runtime has now been integrated into a growing suite of iOS applications.
Currently available on the Apple App Store:
Applications in Final Review
The following applications are currently in the final stages of App Store review:
Resources
These releases represent steady progress toward our broader goal of making MeshKit a lightweight, interoperable application framework that can be adopted across healthcare, finance, agriculture, retail, enterprise workflows, and AI-enabled applications. We look forward to continuing to improve the platform, expand interoperability with technologies such as IPFS, MCP, and CBOR, and work with the community on additional use cases in the months ahead.
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