Langflow Desktop vs Goose
Side-by-side comparison for macOS
Langflow Desktop
8.0Low-code AI-workflow building tool
Goose
8.0Open source, extensible AI agent that goes beyond code suggestions
| Metric | Langflow Desktop | Goose |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 38 | 845 |
| 90-day Installs | 97 | 2.5K |
| 365-day Installs | 592 | 11.0K |
| Version | 1.12.0,v1.12.0 | 1.55.0 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 145.5K | 32.8K |
| GitHub Forks | 8.5K | 3.0K |
| Open Issues | 896 | 366 |
| License | MIT | Apache-2.0 |
| Language | Python | Rust |
| Last GitHub Commit | 7mo ago | 7mo ago |
| First Seen | May 26, 2025 | Feb 24, 2025 |
Reviews
Langflow Desktop
Langflow Desktop is a low-code tool for building AI workflows, offering a visual interface for creating AI agents. It's ideal for developers and data scientists looking to streamline AI application development. The open-source nature and active community contribute to its robustness.
Langflow enables users to design and deploy AI workflows visually, minimizing the need for extensive coding.
Pros
- + Low-code approach enhances accessibility
- + Open-source with active community support
- + User-friendly visual interface
Cons
- - Lacks auto-update functionality
- - High number of open issues may indicate potential instability
Goose
Goose is an open-source AI agent that extends beyond code suggestions, offering capabilities for executing, editing, and testing with any LLM. It's ideal for developers and AI enthusiasts seeking a versatile tool.
An AI agent that assists with code tasks and integrates with various large language models.
Pros
- + Open-source and extensible
- + Supports multiple LLMs
- + Active development and community
Cons
- - No auto-update feature
- - Potential learning curve