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llmaker
Selfhost LLM stacks. Run whole fleets from your terminal
llmaker is an open source platform for running the complete modern LLM stack on your own infrastructure. Large language models, vector databases, embeddings, caching, observability and a builtin retrieval & agent layer. All provisioned, networked and production shaped from a single command. Build private retrieval augmented chatbots, FAQ assistants and recommendation engines locally. No third-party API keys. No data leaving your machine.
Hi PH 👋,
Running a model locally is easy. Shipping an application is not. A production retrieval system needs a vector database, an embeddings service, a caching layer, an orchestration layer and observability. Each containerized, networked and configured to discover the others. Assembling that is a recurring tax: a sprawl of docker run flags, a brittle Compose file, and hundreds of lines of framework glue.
llmaker removes that tax. One CLI provisions the entire stack on a private network and operates it as a single fleet. Live status, logs and a resource dashboard across every model and service. Stacks are declarative and reconcilable (apply --prune), models are OpenAI compatible and retrieval is traced out of the box. From a single model to a complete application.
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About llmaker on Product Hunt
“Selfhost LLM stacks. Run whole fleets from your terminal”
llmaker was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #87 on the daily leaderboard. llmaker is an open source platform for running the complete modern LLM stack on your own infrastructure. Large language models, vector databases, embeddings, caching, observability and a builtin retrieval & agent layer. All provisioned, networked and production shaped from a single command. Build private retrieval augmented chatbots, FAQ assistants and recommendation engines locally. No third-party API keys. No data leaving your machine.
llmaker was featured in Open Source (68.8k followers), Developer Tools (519.7k followers), Artificial Intelligence (479k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 252k products, making this a competitive space to launch in.
Who hunted llmaker?
llmaker was hunted by Raiyan Yahya. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how llmaker stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Raiyan Yahya