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by palico-ai · Agent Tool · ★ 343
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# Palico AI - Tech-Stack for Iterative Development Documentation | Quickstart | Agents | Memory | Tracing | Evaluations | SDKs | Deployment </div Developing an LLM application requires continuously trying different combinations of models, prompts, RAG datasets, call chaining, custom code, and more. Palico helps you build a tech-stack designed for the iterative nature of LLM Development. With Palico you can ✅ Build any application with complete flexibility ([docs](https://docs.palico
| Stars | 343 |
| Forks | 31 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.1882971871734/100 |
| Open Issues | 6 |
| Last Updated | 2024-11-26 |
| Created | 2024-03-12 |
| Platforms | docker, node |
| Est. Tokens | ~972k |
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palico-ai is Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework. It is categorized as a Agent Tool with 343 GitHub stars.
palico-ai is primarily written in TypeScript. It covers topics such as ai, anthropic, autogen.
You can find installation instructions and usage details in the palico-ai GitHub repository at github.com/palico-ai/palico-ai. The project has 343 stars and 31 forks, indicating an active community.
palico-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to palico-ai on Agent Skills Hub include corpusos, full-stack-ai-agent-template, SimplerLLM. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.