Dria

@driaforall • 14,536 subscribers

Dria is an inference lab for accessibility, coding, and agentic behavior. We build Kai, the AI maintainer for your codebase.

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Introducing watchmen. It writes the skill files your coding agents should already have from your own sessions, shared across Claude Code, Codex, and pi, so you stop paying tokens to re-explain what your agent learned last week. Local and open-source.

Introducing watchmen. It writes the skill files your coding agents should already have from your own sessions, shared across Claude Code, Codex, and pi, so you stop paying tokens to re-explain what your agent learned last week. Local and open-source.

43,502 просмотров • 22 дней назад

LLMs are stateless. We built Dria Mem Agent to change that: Making memory a first-class feature. A 4B agent with local interoperable memory across Claude, ChatGPT and LM Studio. It turns LLMs from stateless chat into stateful agents with persistent human-readable memory.

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LLMs are stateless. We built Dria Mem Agent to change that: Making memory a first-class feature. A 4B agent with local interoperable memory across Claude, ChatGPT and LM Studio. It turns LLMs from stateless chat into stateful agents with persistent human-readable memory.

169,724 просмотров • 9 месяцев назад

Today we are shipping dnet, a distributed inference framework that lets Apple Silicon clusters run models that exceed their physical memory. We fuse pipelined-ring parallelism, disk streaming and UMA-aware scheduling so “out of memory” stops being the limit.

Today we are shipping dnet, a distributed inference framework that lets Apple Silicon clusters run models that exceed their physical memory. We fuse pipelined-ring parallelism, disk streaming and UMA-aware scheduling so “out of memory” stops being the limit.

26,004 просмотров • 6 месяцев назад

Most of the world's energy flows through heterogeneous hardware, yet today's AI software is designed for homogeneous and centralized setups. The concentration of high-performance AI into the hands of a few powerful entities poses profound risks to humanity. Introducing Dnet: a unified ML compiler and runtime that unlocks heterogeneous hardware, turning every stranded energy unit into fuel for intelligence. Compile once and deploy anywhere, built on Solana.

Most of the world's energy flows through heterogeneous hardware, yet today's AI software is designed for homogeneous and centralized setups. The concentration of high-performance AI into the hands of a few powerful entities poses profound risks to humanity. Introducing Dnet: a unified ML compiler and runtime that unlocks heterogeneous hardware, turning every stranded energy unit into fuel for intelligence. Compile once and deploy anywhere, built on Solana.

33,128 просмотров • 1 год назад

pip install dria All you need to generate high-quality, grounded synthetic data. Experiment with different models, incorporate tool usage, and generate at scale in just a few lines of code.

pip install dria All you need to generate high-quality, grounded synthetic data. Experiment with different models, incorporate tool usage, and generate at scale in just a few lines of code.

19,351 просмотров • 1 год назад

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