Use NanoGPT Image Models in OpenAI-Compatible Clients
Connect OpenAI-compatible image clients and SDKs to NanoGPT for image generation, editing, live model discovery, and clearer capability information.
NanoGPT Blog
Updates, guides, and insights
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27 posts found for 'integrations'
2026 Mid-Year Crypto Payment Statistics: Monero Still Leads, Bitcoin Rails Grow, Stablecoins Broaden
NanoGPT's first-half 2026 crypto payment data across XMR, XNO, BTC, Lightning, USDC, USDT, LTC, ZEC, ETH, SOL, TON, and more.
Shipped in June: Private Mode, OAuth, GLM 5.2, Media Tools, and More
A complete roundup of what NanoGPT shipped in June 2026, including Private Mode improvements, Sign in with NanoGPT, Batch API expansion, new models, media tools, payment updates, privacy controls, and community projects.
L402 on NanoGPT: x402-style AI API payments over Lightning
NanoGPT now supports accountless API requests paid with Bitcoin Lightning invoices using L402, alongside Nano, Base USDC, and Solana USDC x402 rails.
Fluent + NanoGPT: a native Mac AI assistant with built-in NanoGPT support
Fluent, the native macOS AI assistant, now ships with a built-in NanoGPT integration, a 10% discount on all text models, and free NanoGPT credit with new Fluent purchases.
NanoGPT MCP: Use NanoGPT inside Claude Code and Cursor
How to connect the NanoGPT MCP (Model Context Protocol) server to Claude Code, Cursor, and other MCP clients.
October 2025 Crypto Payment Statistics: Monero Claims Half the Pie
October 2025 NanoGPT crypto payment data, with Monero reaching a record share, Ethereum rebounding, and a new top-ten payment method.
Web Access for All Models with LinkUp
Making every model smarter with on-demand web search capabilities
Top 5 Containerization Tools for AI Models
Compare the top five containerization tools for GPU-accelerated AI, covering GPU support, scalability, integrations, and security.
Best Practices for Proprietary AI Frameworks on Edge Hardware
Practical best practices to optimize, secure, and deploy proprietary AI frameworks on constrained edge devices.