GraphCanon updated 4w · GitHub synced 4w
12k stars936 forksLast push 1mo Jupyter Notebook Apache-2.0
Decision brief
LangGPT: A structured & meta-prompt design framework.
Good fit when
- You need advanced tools to create structured prompts for robust training setups
- Your project benefits from battle-tested userbase and proven utility in deep learning contexts
Avoid when
- The project requires simple prompt creation, not leveraging structured or meta-prompt designs
- Your team lacks expertise in Jupyter Notebook as a development environment
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Active (11d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/langgptai/LangGPTSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LangGPT provides tools for prompt experts to create and design structured prompts and meta-prompts, aiding in the development of robust training processes.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Jul 27, 2026
Categories
Tags
README
For agents
This page has a .md twin and JSON over the API.