LLMAgentR - Language Model Agents in R for AI Workflows and Research
Provides modular, graph-based agents powered by large
language models (LLMs) for intelligent task execution in R.
Supports structured workflows for tasks such as forecasting,
data visualization, feature engineering, data wrangling, data
cleaning, 'SQL', code generation, weather reporting, and
research-driven question answering. Each agent performs
iterative reasoning: recommending steps, generating R code,
executing, debugging, and explaining results. Includes built-in
support for packages such as 'tidymodels', 'modeltime',
'plotly', 'ggplot2', and 'prophet'. Designed for analysts,
developers, and teams building intelligent, reproducible AI
workflows in R. Compatible with LLM providers such as 'OpenAI',
'Anthropic', 'Groq', and 'Ollama'. Inspired by the Python
package 'langagent'.