RAG Tools

Skill-memory capability layer for agent systems, enabling persistent cross-task skill reuse and evolution for OpenClaw-style long-running workflows.

The largest open-source medical AI skills library for OpenClaw.

Automated paper discovery and deep-reading skill for research workflows, covering Hugging Face Papers fetching, filtering, delivery, and one-click deep reading.

Long-term memory capability layer compatible with the OpenClaw memory-plugin ecosystem, designed for persistent-context skills that need accuracy, agility, and cost efficiency.

Context database for agents that unifies memory, resources, and skills through a filesystem model, making it suitable as a foundation for large-scale skill orchestration.

Enhanced OpenClaw memory plugin with hybrid retrieval, cross-encoder reranking, multi-scope isolation, and management CLI for retrieval-heavy skill workflows.