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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-First Programming Language

Makes AI-generated code cheaper to debug, replay, and fix. Built on 12 design axioms for deterministic, traceable execution.

Why AILANG?

AI coding agents write code fast, but debugging is slow. AILANG's deterministic execution and explicit effect boundaries make every run replayable and every side effect visible in the type system.

Deterministic Replay: Same input, same output—replay any execution for debugging
Effect Boundaries: Side effects explicit in types, preventing hallucinated operations
AI Agent Integration: Works with Claude Code, Gemini CLI, and other coding agents
66 Examples: Comprehensive examples and interactive playground

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

Deterministic Execution

Every execution is replayable. Debug AI-generated code by stepping through exactly what happened.

Capability Security

Permissions are statically visible. AI can't generate code that exceeds its authority.

Structured Traces

Execution logs organized by effect type for clear visibility into what operations occurred.

Try it now: Explore 9 live demos including document extraction, Z3 verification, voice agents, and contract-verified AI tool calling. See the full roadmap

Live Demos Try AILANG REPL View on GitHub Full Case Study

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.
            