Ross ROSS = Recommend OSS · open-source software intelligence for agents

peterw/Chat-with-Github-Repo

This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. observed · 2026-08-28

github.com/peterw/Chat-with-Github-Repo · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 87

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1226
  • days_rel: n/a
  • days_push: 835
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1142 stars · 164 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python application that lets you chat with any GitHub repository. It clones a repo, embeds its documents into Activeloop Deep Lake, and serves a Streamlit chatbot powered by OpenAI GPT-3.5-turbo that answers questions using retrieval-augmented generation.

Use cases

  • ask questions about a github repository
  • chat with a codebase using gpt
  • build a rag chatbot over git repo docs
  • search repository contents with embeddings
  • query a repo's documentation via chatbot
  • demo retrieval augmented generation with deep lake

When to choose

  • you want a quick self-hosted chatbot over a single git repository
  • you want a simple Streamlit + OpenAI + Deep Lake RAG example
  • you need a CLI to index a repo and then chat with it locally

When to avoid

  • you need production-grade multi-tenant RAG infrastructure
  • you don't want to depend on OpenAI and Activeloop API keys
  • you need support for newer LLM models or advanced retrieval features

Facets

application · maturity maintenance

rag chatbot llm-inference vector-database cli large-language-models chatbots developer-tools python cli streamlit openai deeplake langchain git-repository-qa retrieval-augmented-generation web-server

4 sources

Member repositories

RepositoryRoleHealth v2
peterw/Chat-with-Github-Repomain30

For agents

markdown · JSON · MCP: product_card(name="peterw/Chat-with-Github-Repo")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem