Beyond Static LLMs: Harnessing the Power of Hermes Agent

Discover how Nous Research's Hermes Agent uses a closed learning loop to build skills, persist memory, and run autonomously on any infrastructure.

Discover how Nous Research's Hermes Agent uses a closed learning loop to build skills, persist memory, and run autonomously on any infrastructure.

Master your data with RAGFlow, an open-source engine that combines deep document understanding with agentic workflows to eliminate AI hallucinations.

Solve the context gap in LLM agentic systems with OKF, a vendor-neutral standard for portable, human- and machine-readable knowledge.

Learn why traditional QA fails with probabilistic AI models and how to implement a modern, risk-based testing framework for reliable software systems.

Achieve research-level multi-hop question answering without GPUs using MOTHRAG, a deterministic and agentic-style framework for LLM applications.

Bridge the gap from prototype to production with Dify. Build, monitor, and scale LLM apps using RAG, agents, and integrated observability tools.

Master complex workflows with Row-Bot, a local-first desktop AI assistant. Orchestrate agents, manage local models, and automate tasks with total privacy.