charmbracelet/crush
First read
Visible and active, but adoption proof is still thinner
charmbracelet/crush has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
23.7K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Last commit Apr 30, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 23.7K stars
- 1.6K forks
- Last commit Apr 30, 2026
- Package usage not mapped yet
Compare lens
Significant-Gravitas/AutoGPT and langgenius/dify are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
Validation note
GitStar can summarize public signals for charmbracelet/crush, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update and stable visibility.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Significant-Gravitas/AutoGPT
Overlaps on topics such as agentic-ai and ai, which makes it a stronger alternative than a random popularity neighbor.
langgenius/dify
Overlaps on topics such as agentic-ai and ai, which makes it a stronger alternative than a random popularity neighbor.
open-webui/open-webui
Overlaps on topics such as ai and llms, which makes it a stronger alternative than a random popularity neighbor.
microsoft/generative-ai-for-beginners
Overlaps on topics such as ai and llms, which makes it a stronger alternative than a random popularity neighbor.
Cross-links
GitStar picked AutoGPT + dify as the closest next comparison from the related repository set.
Embed Badge
[](https://gitstar.space/repo/charmbracelet/crush)<a href="https://gitstar.space/repo/charmbracelet/crush"><img src="https://gitstar.space/api/badge/charmbracelet/crush" alt="GitStar"></a>🔗 Wider nearby ecosystem
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Production-ready platform for agentic workflow development.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Next step after the validation read
Learn and methodology
About This Page
This page provides a quick overview of charmbracelet/crush based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
Want to show your project's ranking? Copy the badge embed code above and add it to your README.