Welcome to KnowledgeX Lab! We are excited to explore AGI for knowledge extraction, representation, organization, reasoning, and prediction.
Exploratory research directions include, but are not limited to:
A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
Multimodal knowledge base for AI agents. Turn documents of any kind into queryable knowledge, give agents persistent memory, and generate structured insights — all in one platform.
Security audit skill for agent like claude code — catches hardcoded secrets, internal IPs, dependency vulnerabilities, and license issues before you ship.
Supercharge your AI agents by versioning, tracking, and merging overlapping skills.
Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
The Agent’s First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
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