这是indexloc提供的服务，不要输入任何密码
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Jul 31, 2025
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Add Hypersigil #205

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Add Hypersigil
PeterOsinski Jul 31, 2025
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Add Hypersigil
PeterOsinski Jul 31, 2025
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -196,7 +196,8 @@ An awesome & curated list of the best LLMOps tools for developers.
| [GPUStack](https://github.com/gpustack/gpustack) | An open-source GPU cluster manager for running and managing LLMs | ![GitHub Badge](https://img.shields.io/github/stars/gpustack/gpustack.svg?style=flat-square) |
| [Haystack](https://github.com/deepset-ai/haystack) | Quickly compose applications with LLM Agents, semantic search, question-answering and more. | ![GitHub Badge](https://img.shields.io/github/stars/deepset-ai/haystack.svg?style=flat-square) |
| [Helicone](https://github.com/Helicone/helicone) | Open-source LLM observability platform for logging, monitoring, and debugging AI applications. Simple 1-line integration to get started. | ![GitHub Badge](https://img.shields.io/github/stars/helicone/helicone.svg?style=flat-square) |
| [Humanloop](https://humanloop.com) | The LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems. | |
| [Humanloop](https://humanloop.com) | The LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems. | |
| [Hypersigil](https://github.com/hypersigilhq/hypersigil) | Open-source prompt lifecycle management and gateway with a Web UI. | ![GitHub Badge](https://img.shields.io/github/stars/hypersigilhq/hypersigil.svg?style=flat-square) |
| [Izlo](https://getizlo.com/) | Prompt management tools for teams. Store, improve, test, and deploy your prompts in one unified workspace. | |
| [Keywords AI](https://keywordsai.co/) | A unified DevOps platform for AI software. Keywords AI makes it easy for developers to build LLM applications. | |
| [MLflow](https://github.com/mlflow/mlflow/tree/master) | An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing. | ![GitHub Badge](https://img.shields.io/github/stars/mlflow/mlflow.svg?style=flat-square) |
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