A typical chemical synthesis reaction development workflow consists of five steps: (1) literature search and information extraction, (2) substrate scope and condition screening, (3) reaction kinetics study, (4) reaction condition optimization, and (5) reaction scale-up and product purification. To exploit the capabilities of LLM facilitating this development process, we developed a set of LLMbased intelligent agents in LLM-RDF to handle the fundamental tasks necessary to complete the development steps above (Fig. ). These agents were constructed based on GPT-4 model to maximize their capabilities in context understanding and chemical knowledge reasoning. In addition, they were pre-promoted using customized instructions and documents to achieve consistent behavior and performance for a specific task. These intelligent agents include: (1) Literature Scouter: An agent (based on GPT-4 application, Consensus 31 ) leverages LLM's capability to understand user's reaction search request and lookup most relevant literatures in academic journal database, and extract reaction condition and procedures from the literature document. (2) Experiment Designer: An agent translates reaction processes and parameters described in natural language into standardized reaction execution protocols to interface with experimental platforms. (3) Hardware Executor: An agent composes automation hardware running codes according to the reaction protocols such that no manual coding work would be required to execute the experiments. (4) Spectrum Analyzer: An agent processes raw spectral data obtained from analytical apparatus (e.g., gas chromatograph and NMR) to identify the target compound peaks and calculate the corresponding product yield. (5) Separation Instructor: An agent instructs to identify the appropriate thin-layer chromatography (TLC) eluent composition which will be used for the subsequent flash column chromatograph separation. (6) Result Interpreter: An agent interprets and concludes reaction results based on fundamental chemical knowledge.