What is Dhaher Labs?
Dhaher Labs is a small personal lab — not a company, not a startup. It's where practical AI systems, quantitative tools, and autonomous workflows are built from scratch.
The lab focuses on solving real problems with code: from multi-LLM gateways to trading research dashboards, from IoT infrastructure to AI-powered creative studios.
Every project is open source and built with the philosophy that technology should be accessible, practical, and honest.
Our Mission
Build practical AI systems that solve real problems — not demos, not hype.
Create quantitative tools that make complex analysis accessible.
Develop autonomous workflows that reduce repetitive work.
Keep everything open source and transparent.
What We Build
AI Systems
Multi-LLM gateways, AI coding agents, memory systems, and multi-agent orchestration frameworks.
Quant Intelligence
Trading research dashboards, market intelligence engines, and quantitative analysis tools.
Autonomous Workflows
Workflow orchestration, data reconnaissance, and intelligent task scheduling pipelines.
Open Source
Everything is open source. From Android coding agents to creative studios and IoT infrastructure.
Latest Articles
AI-generated insights on AI, quant, and autonomous workflows
Building Multi-LLM Gateways with ProxyGateLLM
Learn how ProxyGateLLM provides a unified API gateway to 22 LLM providers with over 350 models, enabling seamless provider switching, load balancing, and cost optimization for AI applications.
Getting Started with AI Coding Agents on Android
OpenCode-Android brings AI-powered coding assistance natively to Android devices, enabling developers to write, review, and debug code on the go with full LLM integration.
Trading Research Dashboards: A Practical Approach
Quant-Nanggroe-AI demonstrates how to build a trading research dashboard using React 19, TypeScript, and real-time market data — focused on research rather than automated trading.
Memory Systems for AI Agents: The Mnemosyne Approach
Mnemosyne provides a structured memory and context management system for AI agents, enabling persistent conversations, knowledge retention, and cross-session context awareness.
Multi-Agent Orchestration Patterns
AI-MultiColony-Ecosystem explores practical patterns for orchestrating multiple AI agents, from sequential pipelines to collaborative swarms, with real-world implementation examples.
IoT Infrastructure for Industrial Monitoring
Nanggroe-IoT provides a practical framework for building industrial IoT monitoring systems, from sensor data collection to real-time dashboards and alerting pipelines.
Follow @dhaherlabs
Behind the scenes, project updates, and the day-to-day of building a small lab.
ProxyGateLLM
Multi-LLM Gateway — 22 providers, 350+ models
Quant-Nanggroe-AI
Trading Research Dashboard — market analysis at your fingertips
OpenCode-Android
Native Android AI coding agent — code generation on the go
Nanggroe-IoT
IoT infrastructure — connected devices & sensor management
GlowPilot
AI skincare advisor — LLM + voice support
K.A.L.E.N
Autonomous workflow orchestration system
Developer Programs
Verified member of global developer ecosystems
The Person Behind the Lab
Mulky Malikul Dhaher
Building Dhaher Labs
By day, an industrial maintenance technician and panel control operator at a cement packing plant in Lhokseumawe, Aceh. By night, building AI tools, quantitative systems, and open-source software.
Self-taught developer studying Information Systems at Universitas Terbuka. Background in Teknik Informatika — Prodi Multimedia from SMK Negeri 2 Lhokseumawe.