The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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'.
| Version: | 0.2.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | plotly, stats, utils, DBI, RSQLite, dplyr, glue, httr, officer, purrr, timetk, pdftools, parsnip, recipes, workflows, rsample, modeltime.ensemble, modeltime, xml2 |
| Suggests: | testthat (≥ 3.0.0), roxygen2, jsonlite, magrittr, rlang, tidyr, ggplot2, usethis, prophet, forcats, kernlab, xgboost, xfun, modeltime.resample, tidymodels, tibble, lubridate, methods, tesseract, rvest, fastDummies, stringr |
| Published: | 2025-04-29 |
| DOI: | 10.32614/CRAN.package.LLMAgentR |
| Author: | Kwadwo Daddy Nyame Owusu Boakye [aut, cre] |
| Maintainer: | Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye at outlook.com> |
| BugReports: | https://github.com/knowusuboaky/LLMAgentR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/knowusuboaky/LLMAgentR, https://knowusuboaky.github.io/LLMAgentR/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LLMAgentR results |
| Reference manual: | LLMAgentR.pdf |
| Package source: | LLMAgentR_0.2.2.tar.gz |
| Windows binaries: | r-devel: LLMAgentR_0.2.0.zip, r-release: LLMAgentR_0.2.2.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): LLMAgentR_0.2.2.tgz, r-oldrel (arm64): LLMAgentR_0.2.2.tgz, r-release (x86_64): LLMAgentR_0.2.2.tgz, r-oldrel (x86_64): LLMAgentR_0.2.2.tgz |
| Old sources: | LLMAgentR archive |
Please use the canonical form https://CRAN.R-project.org/package=LLMAgentR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.