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Building the Future of AI Together

At Sunholo, we believe in contributing to the open-source AI ecosystem. Our projects help developers build better AI applications faster, with tools that are transparent, accessible, and community-driven.

Open Source Community-Driven Development

Production-Ready Battle-Tested in Real Projects

Developer-Friendly Clear Documentation & Examples

AILANG: AI-Native Programming Language

An experimental programming language designed from the ground up for AI code generation, with natural syntax that helps LLMs write better code.

Why AILANG?

Traditional programming languages weren't designed with AI in mind. They carry decades of syntactic baggage that makes them harder for LLMs to generate correctly. AILANG reimagines programming syntax for the AI era.

Natural Syntax: Cleaner, more intuitive code that's easier for both humans and AI to understand
AI-Optimized: Designed specifically to reduce LLM errors and improve code generation accuracy
WebAssembly-Powered: Runs directly in the browser with no server required
Performance: Competitive execution speed with established languages

Try AILANG directly in your browser with the interactive playground

Performance Benchmarks

AILANG demonstrates competitive performance across major LLM models, with Claude Haiku 4.5 showing only a 23.8% accuracy gap compared to Python

AI-First Design

Every language feature is optimized for LLM code generation, reducing common errors and improving accuracy.

Browser-Native

WebAssembly compilation means instant execution without backend infrastructure.

Research Platform

Open experimentation ground for exploring AI-native language design principles.

Try AILANG Playground View on GitHub

Sunholo Python Library

A comprehensive Python framework for building production-grade AI applications, used by developers worldwide.

pip install sunholo

from sunholo import create_agent

# Build production-ready AI agents
agent = create_agent(
    name="assistant",
    llm="gemini-2.5-pro",
    tools=["web_search", "document_qa"]
)

response = agent.run("Analyze Q4 reports")

Simple, intuitive API for complex AI workflows

Production-Ready AI Infrastructure

The Sunholo library powers the Multivac platform and is available as a standalone open-source toolkit for developers building AI applications.

Multi-Framework Support: Works with LangChain, LlamaIndex, Crew.ai, and more
Enterprise Features: Authentication, logging, monitoring, and error handling built-in
Cloud-Native: Deploy to GCP, AWS, Azure with minimal configuration
RAG Pipelines: Pre-built components for document processing and vector search

Framework Agnostic

Use any AI framework you prefer

Security First

Enterprise-grade auth & secrets management

Observability

Comprehensive logging and monitoring

Vector DB Ready

Built-in support for embeddings & search

CI/CD Ready

Deploy with GitHub Actions, Cloud Build

Well Documented

Clear guides and API references

View Documentation View on GitHub

Our Open Source Philosophy

We believe the best AI tools are built in the open. By sharing our work with the community, we accelerate innovation for everyone. These projects represent our commitment to making AI development more accessible, transparent, and collaborative.

Whether you're building a startup prototype or an enterprise AI system, our open-source tools provide the foundation you need—without vendor lock-in or hidden costs.

                
                We build in public. Our open-source projects are the same tools we use in production for our clients. When you use them, you get enterprise-grade quality with community-driven innovation.
            