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Expand Up @@ -249,6 +249,7 @@ An awesome & curated list of the best LLMOps tools for developers.
| [Vellum](https://www.vellum.ai/) | An AI product development platform to experiment with, evaluate, and deploy advanced LLM apps. | |
| [Weights & Biases (Prompts)](https://docs.wandb.ai/guides/prompts) | A suite of LLMOps tools within the developer-first W&B MLOps platform. Utilize W&B Prompts for visualizing and inspecting LLM execution flow, tracking inputs and outputs, viewing intermediate results, securely managing prompts and LLM chain configurations. | |
| [Wordware](https://www.wordware.ai) | A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. It approaches prompting as a new programming language rather than low/no-code blocks. | |
| [WritBase](https://github.com/Writbase/writbase) | MCP-native task management for AI agent fleets with multi-agent permissions and full provenance. | ![GitHub Badge](https://img.shields.io/github/stars/Writbase/writbase.svg?style=flat-square) |
| [xTuring](https://github.com/stochasticai/xturing) | Build and control your personal LLMs with fast and efficient fine-tuning. | ![GitHub Badge](https://img.shields.io/github/stars/stochasticai/xturing.svg?style=flat-square) |
| [ZenML](https://github.com/zenml-io/zenml) | Open-source framework for orchestrating, experimenting and deploying production-grade ML solutions, with built-in `langchain` & `llama_index` integrations. | ![GitHub Badge](https://img.shields.io/github/stars/zenml-io/zenml.svg?style=flat-square) |
| [Future AGI](https://github.com/future-agi/ai-evaluation) | Evaluation framework for automated, reproducible scoring of LLM, agent, and workflow performance. | ![GitHub Badge](https://img.shields.io/github/stars/future-agi/ai-evaluation?style=flat-square) |
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