muti-agent-system

RizqAI - Markets Remember. So Does RizqAI.

A state-of-the-art autonomous AI agent built with LangGraph, Playwright, and Gemini. Features multi-modal research, automated task execution, and a specialized e-commerce deals tracker with real-time price extraction and comparison.

An AI bootstrapped multi-agent framework. Bootstrapped framework, bootstrapped plugins, bootstrapped multi-language. Local deployment. Zero dependencies. Zero middleware. Zero vendor lock-in.

Confidence is a claim, not a measurement. Multi-agent AI code review that settles disagreements with auction theory instead of averaging — Vickrey, VCG and double-auction mechanisms, plus a reputation ledger that learns which reviewers to trust.

Governance-first AI adoption case study covering responsible AI, multi-agent workflows, change management, Asia localisation and outcome measurement.

Hybrid Adaptive Scheduler (HAS): A novel load-balancing algorithm for heterogeneous Multi-Agent Systems. Bridges the gap between offline LPT planning and online ECT execution via a tunable batch parameter α to minimize makespan while maintaining real-time responsiveness. Includes complete simulation suite and IEEE research paper.