by mgilangjanuar · Agent Tool · ★ 50
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Agentify An agent studio platform that utilizes Claude models to generate a specific agent for a particular task. Live demo: agentify.appledore.dev Video Demo 1: Video Demo 2: Features [x] Generate agents [x] Agent Store [x] Publish your generated agents [x] Install agents from the Store [x] Review submissions [x] Stream mode [ ] Isolated script execution [ ] Advanced mode Studio [
| Stars | 50 |
| Forks | 5 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 76.3089037687012/100 |
| Open Issues | 2 |
| Last Updated | 2024-07-31 |
| Created | 2024-07-04 |
| Platforms | node |
| Est. Tokens | ~160k |
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agentify is Create and install AI agents to automate your tasks. It is categorized as a Agent Tool with 50 GitHub stars.
agentify is primarily written in TypeScript. It covers topics such as ai, llm-agent, platform.
You can find installation instructions and usage details in the agentify GitHub repository at github.com/mgilangjanuar/agentify. The project has 50 stars and 5 forks, indicating an active community.
agentify is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentify on Agent Skills Hub include Awesome-AI-For-Security, mcp-ts-template, EdgeBox. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.