Evidence-based guidelines for building codebases optimized for AI agent interaction
AI-native system for spec-driven development
AI-native development framework — asset memory, SDD gate, dual-track verification, self-iteration hooks
AI Elements is a component library and custom registry built on top of shadcn/ui to help you build AI-native applications faster.
AI-native system for spec-driven development
Premium AI-native UI primitives
Persistent Context Architecture CLI for AI-native development
AI-native CLI for geotechnical engineering
AI-native spec-driven development workflow tool
**The framework for building AI-native applications**
AI-native system for spec-driven development
AI-native project management CLI
Honcho AI-native memory integration for OpenClaw
AI-native knowledge system for Claude Code
AI-native test runner for ElasticDash workflow testing
An AI-native terminal workbench for services, Git review, logs, and MCP workflows.
AI-native system for spec-driven development
Object-shaped local memory for AI-native apps.
AI-native repository intelligence CLI
Scaffold AI-native agent workflows for Claude Code
Forge CLI — AI-native developer framework. Scaffold, lint, scan, ship.
AI-native system for spec-driven development
AI-native CLI for Treasure Data - optimized for both human engineers and AI coding assistants
CLI scanner for AI-native repository assessment
AI-Native Code Assistant Library
Loom — an AI-native functional language that compiles to Rust, TypeScript, WebAssembly, OpenAPI 3.0, and JSON Schema with built-in correctness guarantees
SigmaShake — AI-native infrastructure platform
SigmaShake — AI-native infrastructure platform
SigmaShake — AI-native infrastructure platform
SigmaShake — AI-native infrastructure platform
SigmaShake — AI-native infrastructure platform
AI-native macOS menu bar dictation for developers.
The Next-Gen Real-Time Search & AI-Native Innovation Engine.
The Next-Gen Real-Time Search & AI-Native Innovation Engine.
Minimal MCP server for SochDB - AI-native database
Minimal MCP server for ToonDB - AI-native database
Senren UI is a Rails-native UI component library inspired by the developer experience of shadcn/ui. It ships generators, a registry, and a centralized AI-agent skill system. Components are copied into the host app (source-copy architecture) so developers and AI agents can read and edit them directly.
TINA4: The Intelligent Native Application 4ramework for Ruby — Simple. Fast. Human. Built for AI. Built for you. 54 built-in features, zero dependencies. Full parity with Python, PHP, and Node.js.
A Ruby-native SDK for Google's Generative AI (Gemini) APIs, providing text generation, chat, streaming, multimodal content, and image generation (Nano Banana) support.
Seedance 2.0 AI Video - free online AI video generator that turns text prompts and images into cinematic videos with native audio sync.
A Ruby client for the Model Context Protocol (MCP) that seamlessly integrates with RubyLLM. Supports both native full-featured implementation and the official mcp-sdk gem. Connect to MCP servers via SSE, stdio, or HTTP transports, automatically convert MCP tools into RubyLLM-compatible tools, and enable AI models to interact with external data sources and services. Makes using MCP with RubyLLM as easy as possible.
Provides Rails-native integration with TimescaleDB's pgai extension, making AI-powered vectorization and semantic search simple and intuitive in Rails applications.
Ruby-native AI coding agent with pluggable LLM adapters, persistent memory, and file editing tools. Features automatic retry logic, SQLite-backed conversation history, and user approval workflows for file modifications.
Kernai is an AI agent kernel based on a universal XML block protocol, enabling simple, dynamic, observable and fully controlled orchestration without external runtime dependencies. Ships with reference provider adapters for Anthropic, OpenAI and Ollama, native multimodal support, a workflow DAG scheduler, pluggable recorder sinks and an optional MCP (Model Context Protocol) bridge.
GRNexus is a revolutionary cross-language AI platform that combines the elegance of Ruby with the raw power of native C acceleration. Train models in Ruby and deploy them in Python (or vice versa) with full compatibility. Features include 35+ activation functions, 12+ layer types, complete NLP pipeline, 40+ numeric operations, and intelligent training callbacks. 10-100x faster than pure Ruby implementations thanks to native C core.
Javonet allows you to reference and use modules or packages written in (Java/Kotlin/Groovy/Clojure, C#/VB.NET, Ruby, Perl, Python, JavaScript/TypeScript) like they were created in your technology. It works on Linux/Windows and MacOS for applications created in JVM, CLR/Netcore, Perl, Python, Ruby, NodeJS, C++ or GoLang and gives you unparalleled freedom and flexibility with native performance in building your mixed-technologies products. Let it be accessing best AI or cryptography libraries, devices SDKs, legacy client modules, internal custom packages or anything from public repositories available on NPM, Nuget, PyPI, Maven/Gradle, RubyGems or GitHub. Get free from programming languages barriers today! For more information check out our guides at https://www.javonet.com/guides/v2/
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.