by stepanogil · Agent Tool · ★ 443
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✨ 2026 update: A modernized version using an agent loop via OpenAI's Responses API (no LangChain, no Pinecone, with reasoning summaries) lives in . The original 2023 implementation below is preserved as a reference. Autonomous HR Chatbot built using ChatGPT, LangChain, Pinecone and Streamlit Companion Reading: Creating a (mostly) Autonomous HR Assistant with ChatGPT and LangChain’s Agents and Tools TL;DR/Description This is a prototype enterprise application - an autonomous agent that is able to answer HR queries using the tools it has on hand. It was made using LangChain's agents and tools modules, using Pinecone as vector database and powered by ChatGPT or gpt-3.5-turbo. The front-end is Streamlit using the streamlitchat component. Tools: Timekeeping Policies - A ChatGPT generated sample HR policy document. Embeddings were created for this doc using OpenAI’s text-embedding-ada-002 model and stored in a Pinecone index. Employee Data - A csv file containing dummy employee data (e.g. name, supervisor, # of leaves etc).
| Stars | 443 |
| Forks | 108 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 44.75/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-29 |
| Created | 2023-06-15 |
| Platforms | python |
| Est. Tokens | ~542k |
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autonomous-hr-chatbot is An autonomous HR agent that can answer user queries using tools. It is categorized as a Agent Tool with 443 GitHub stars.
autonomous-hr-chatbot is primarily written in Python. It covers topics such as agent, ai, autonomous-agents.
You can find installation instructions and usage details in the autonomous-hr-chatbot GitHub repository at github.com/stepanogil/autonomous-hr-chatbot. The project has 443 stars and 108 forks, indicating an active community.
autonomous-hr-chatbot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to autonomous-hr-chatbot on Agent Skills Hub include DemoGPT, Autono, sre. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.