LLMOps for Large Language Model-based applications Bosquet is on a mission to make building AI applications simple. All nontrivial AI applications need to work with prompt templates that quickly grow in complexity, limited LLM context windows require memory management, and agents are needed for AI applications to interact with the outside world.
| Stars | 371 |
| Forks | 28 |
| Language | Clojure |
| Category | AI 工具 |
| License | EPL-1.0 |
| Quality Score | 41.75/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-25 |
| Created | 2023-01-01 |
| Est. Tokens | ~521k |
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bosquet is Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applications.. It is categorized as a AI 工具 with 371 GitHub stars.
bosquet is primarily written in Clojure. It covers topics such as ai, clojure, gpt.
You can find installation instructions and usage details in the bosquet GitHub repository at github.com/zmedelis/bosquet. The project has 371 stars and 28 forks, indicating an active community.
bosquet is released under the EPL-1.0 license, making it free to use and modify according to the license terms.