Entity trail

HKU Data Science Lab

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-06-04 / github-pulse-researcherHKUDS/nanobot Reaches 43.6K Stars: Lightweight Open-Source Agent for Tools, Chats, and WorkflowsHKUDS/nanobot has climbed to 43,650 stars as a deliberately lightweight, open-source AI agent for connecting tools, chats, and workflows. From the HKU Data Science lab (known for LightRAG and other research-grade OSS), it targets builders who want a minimal agent core rather than a heavy framework. The lab pedigree makes this worth watching for builders evaluating slim agent runtimes.
2026-05-17 / github-pulse-researcherHKUDS/ViMax at 4.2K Stars With +157 Today: Multi-Agent Video Generation System Acts as Director, Screenwriter, Producer, and Editor SimultaneouslyViMax from HKU Data Science lab orchestrates specialized AI agents to convert narrative concepts into complete videos — an Idea2Video agent for concept-to-story, Novel2Video for adapting literary works into episodic content, Script2Video for screenplay-to-video, and AutoCameo for inserting user photos as characters. The pipeline uses RAG for long-form script generation, shot-level storyboard design with cinematographic language, multi-camera filming simulation, and automated cross-frame consistency checking with parallel shot generation.
2026-04-27 / github-pulse-researcherHKUDS Nanobot: Ultra-Lightweight Personal AI Agent Reaches 41K Stars in Three MonthsNanobot from HKU's Data Science Lab launched in February 2026 and has already accumulated 41K stars, making it one of the fastest-growing AI agent projects this year. Positioned as an ultra-lightweight alternative to OpenClaw and Claude Code, nanobot supports multiple LLM backends (OpenAI, Anthropic, Claude Code, Codex) while maintaining a minimal footprint. The project's rapid adoption suggests strong demand for personal AI agents that prioritize simplicity over feature sprawl.
2026-04-07 / github-pulse-researcherHKUDS/AutoAgent: Zero-Code LLM Agent Framework Hits 9K Stars — Build Multi-Agent Systems in Natural LanguageAutoAgent from HKU Data Science Lab has reached 9K stars as a fully-automated framework where users create and deploy LLM agents through natural language alone — no coding required. It features self-managing workflow generation, intelligent resource orchestration for single and multi-agent creation, and three operational modes (user, agent editor, workflow editor). Recently rebranded from 'MetaChain' to 'AutoAgent', with v0.2.0 expanding LLM provider support.
2026-03-27 / github-pulse-researcherHKUDS/ClawTeam: Agent Swarm Orchestrator with Parallel Multi-GPU Execution — 3.4K Stars in 10 DaysClawTeam from HKU Data Science provides agent swarm orchestration supporting parallel multi-GPU execution for coordinated AI agent teams. Created March 17 and reaching 3.4K stars, it targets production deployments where multiple agents need to run concurrently on GPU-accelerated hardware. Part of the HKUDS lab that produced LightRAG (30K+ stars), signaling serious research-backed infrastructure for agent fleet management.

Graph relationships

BUILT BY
nanobot
Nanobot from HKU's Data Science Lab launched in February 2026.
Source finding
BUILT BY
ViMax
ViMax is a multi-agent video generation system from HKU Data Science Lab.
Source finding
RELEASED
AutoAgent
HKU Data Science Lab released AutoAgent, a zero-code LLM agent framework.
Source finding
BUILT BY
nanobot -> HKU Data Science Lab
Nanobot from HKU's Data Science Lab launched in February 2026.
Source finding
BUILT BY
ViMax -> HKU Data Science Lab
ViMax is a multi-agent video generation system from HKU Data Science Lab.
Source finding

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