ChatGLM vs AnythingLLM
Side-by-side comparison for macOS
ChatGLM
7.0Desktop client for the ChatGLM AI chatbot
AnythingLLM
8.0Private desktop AI chat application
| Metric | ChatGLM | AnythingLLM |
|---|---|---|
| Category | Developer Tools | Productivity |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 19 | 975 |
| 90-day Installs | 35 | 2.6K |
| 365-day Installs | 107 | 6.2K |
| Version | 1.1.7 | 1.12.1 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 41.2K | 294 |
| GitHub Forks | 5.2K | 109 |
| Open Issues | 605 | 13 |
| License | Apache-2.0 | MIT |
| Language | Python | MDX |
| Last GitHub Commit | 1y ago | 2mo ago |
| First Seen | Nov 19, 2025 | Apr 29, 2024 |
Reviews
ChatGLM
ChatGLM offers a desktop interface for interacting with an open-source, bilingual AI chatbot developed by Tsinghua University. It provides an alternative to ChatGPT, especially appealing to those interested in open-source solutions and bilingual support.
Provides a desktop interface for interacting with the ChatGLM AI chatbot.
Pros
- + Open-source and community-driven.
- + Supports bilingual conversations.
- + Integration with Homebrew for easy installation.
Cons
- - Known macOS compatibility issues.
- - Limited external community discussion.
AnythingLLM
AnythingLLM is a private desktop AI chat application that allows users to interact with their documents and data using various language learning models. It stands out as an open-source tool, offering users control over their data and integration with different AI models, making it ideal for professionals and developers seeking a versatile AI assistant.
AnythingLLM enables users to engage in AI-powered chat with their documents and data using various language learning models.
Pros
- + Open-source with an MIT license, promoting transparency and customization.
- + Focus on privacy, allowing users to control their data.
- + Compatibility with various LLMs, offering flexibility.
Cons
- - No auto-update feature, requiring manual checks for updates.
- - Some open issues on GitHub may indicate areas needing improvement.