Llama-github
Python library for retrieving relevant GitHub data using Langchain framework.
- Status
- Generally available
- Last checked
- Checked · Oct 12, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Llama-github is a Python library built with the Langchain framework, designed to help developers retrieve the most relevant code snippets, issues, and repository information from GitHub efficiently.
Llama-github stands out by offering an efficient, open-source solution built on the Langchain framework specifically tailored for retrieving relevant GitHub data directly within Python applications.
When it fits — and when it doesn’t
A good fit for
Python developers who need to programmatically access and retrieve specific data from GitHub repositories, issues, or code snippets.
Projects that require integration with GitHub for automated workflows involving code retrieval and analysis.
Look elsewhere if
Developers looking for a web-based interface rather than a Python library.
Teams requiring real-time streaming of GitHub data as the tool is designed for batch processing.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Dependency on Langchain framework stability
Langchain's own updates can introduce instability or require frequent adjustments in Llama-github
What it does well
Efficient retrieval of code snippets, issues, and repository information from GitHub.
Built on the Langchain framework for enhanced performance and reliability.
Open-source with an Apache-2.0 license.
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Llama-github
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Llama-github’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
[](https://navigateaitools.com/explorer/tool/llama-github)HTML
<a href="https://navigateaitools.com/explorer/tool/llama-github"><img src="https://navigateaitools.com/badge/llama-github.svg" alt="Llama-github — tracked on AI Navigator" height="58"></a>