Nokast is an open-source AI studio and community focused on small language models, SecureRAG, and personal assistants that run close to your data—not in someone else's cloud.
How Nokast works
4 principlesStart with a concrete problem
No vague "AI for everything." We zoom into one real workflow—staying informed with LocalizeAI, or running a cognition agent with Nodemind—and solve it fully before moving on.
Design local‑first by default
Data never leaves your machine unless you explicitly choose. Models are small, fast, and tuned for your hardware. Interfaces are built for people who actually use AI—not click‑through demos.
Open‑source the entire stack
Every project ships with clear architecture notes, configurable components for local SLMs and SecureRAG pipelines, and examples you can run on a laptop—not a cloud cluster.
Cycle feedback into the community
Build logs, mistakes, and trade‑offs go on Substack. Contributions flow back in via GitHub and Nokast Sessions—a tight loop between builders and users.
Everything runs on your machine. No cloud required.
Small language models that fit on consumer GPUs and MacBooks. No cloud subscription, no API key.
Private retrieval-augmented generation keeps your documents local and your context private by default.
Every tool, pattern, and decision is shared openly. Fork it, improve it, ship it your way.
What we're shipping
Two tools, one mission: AI that runs where you are.
Newsletter intelligence, locally
Stop drowning in newsletters. LocalizeAI reads your inbox locally and generates a focused daily brief — top stories, key insights, original links — without sending your data to the cloud.
macOS cognition agent
Talk into it, it builds a graph from your thoughts, extracts tasks and goals, and schedules meetings. Runs fully local — no cloud, open source, distributed as a .dmg.
Stay in the loop
Want updates on Nodemind, LocalizeAI, and Nokast Sessions? Subscribe to the Nokast build log — deep dives on local-first AI, SLMs, and SecureRAG.
Subscribe on Substack