Show HN: Self-host open-source LLMs on AWS with scale-to-zero
Parley is a self-hosted mesh network that connects LLMs running on your own devices, allowing them to collaborate on tasks without relying on external APIs. It solves the problem of using multiple local models together efficiently, for users who want privacy and control over their AI workflows.
Parley is a self-hosted mesh network that connects LLMs running on your own devices, allowing them to collaborate on tasks without relying on external APIs. It solves the problem of using multiple local models together efficiently, for users who want privacy and control over their AI workflows.
BubbleHub is a local runtime and hosting platform for LLM agents, allowing developers to run and deploy agents on their own infrastructure. It solves the problem of managing agent lifecycle and scaling by providing a self-hosted environment.
BubbleHub is a local runtime and hosting platform for LLM agents, allowing developers to run and deploy agents on their own infrastructure. It solves the problem of managing agent lifecycle and scaling by providing a self-hosted environment.
Horus-runtime is a tool that lets you train a small language model from scratch, aimed at developers and researchers who want to understand LLM training or build custom small models. It provides a runtime environment for training, likely with a focus on simplicity and educational value.
Horus-runtime is a tool that lets you train a small language model from scratch, aimed at developers and researchers who want to understand LLM training or build custom small models. It provides a runtime environment for training, likely with a focus on simplicity and educational value.
The author trained three LLMs from scratch and made them available online for users to try. The playground allows hands-on testing of these models, demonstrating the training process and providing a practical tool for experimentation.
The author trained three LLMs from scratch and made them available online for users to try. The playground allows hands-on testing of these models, demonstrating the training process and providing a practical tool for experimentation.
Anansi is an open-source memory API designed to give LLM applications persistent, queryable memory. It solves the problem of stateless LLM interactions by providing a simple interface for storing and retrieving conversation context or knowledge, aimed at developers building LLM-powered apps.
Anansi is an open-source memory API designed to give LLM applications persistent, queryable memory. It solves the problem of stateless LLM interactions by providing a simple interface for storing and retrieving conversation context or knowledge, aimed at developers building LLM-powered apps.