PromptMage – Simplify and Manage Your LLM Workflows
Hello HN community, I'm excited to share a project we've been working on called PromptMage, an open-source tool designed to simplify the process of creating and managing complex workflows for large language models (LLMs). Backstory As developers and researchers working with LLMs, we found ourselves constantly grappling with the challenges of prompt iteration, testing, and version control. Existing tools didn't quite fit our needs for an integrated, intuitive workflow management solution. So, we decided to build one. PromptMage was born out of a desire to streamline these processes and make…
PromptMage – Simplify and Manage Your LLM Workflows launched on August 28, 2024 with 10 votes, #1,497 of 5,471 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
PromptMage is an open-source, self-hosted tool for developers and researchers working with large language models. It provides a user-friendly interface for creating, testing, and managing LLM prompts and workflows, including features like a prompt playground for rapid iteration and comparison. The tool addresses challenges around prompt testing, version control, and workflow management that existing solutions did not adequately solve.
written from the facts on this page · September 2026
From the sources
PromptMage
In the maker’s words, at launch
Hello HN community, I'm excited to share a project we've been working on called PromptMage, an open-source tool designed to simplify the process of creating and managing complex workflows for large language models (LLMs). Backstory As developers and researchers working with LLMs, we found ourselves constantly…
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PromptTools – open-source tools for evaluating LLMs and vector DBs2023 · github.com · ▲211Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…
Prompt Engine – Auto pick LLMs based on your prompts2024 · jigsawstack.com · ▲93Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
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Comet LLM - Open-source prompt management and analytics2024 · github.com · ▲19Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. - comet-ml/opik
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