BRINGING IDEAS TO LIFE
We are builders. Small team. AI-native. Shipping open source from zero.
Bootstrapped. No VC. We create open source tools to solve real problems and selectively partner with teams building meaningful things.
What We Do
Three pillars of how we operate
Build Open Source
We create tools and ship them in the open. From AI runtimes to deployment tools — if we need it, we build it and share it.
AI-Native Workflow
Small team, massive output. AI is core to everything we do — not a bolt-on feature but how we actually work every day.
Partner Selectively
Premium partnerships with teams building meaningful things. Not an agency. Not cheap. Selective and high-quality.
Things We've Built
Open source tools shipped by our team
For Builders
Follow our journey. Read the blog. Use our open source tools. Learn how a small team ships with AI-native workflows.
Read the blogFor Teams
Need a builder's perspective? We selectively partner with teams that value quality and want proven execution on meaningful projects.
Let's talkLatest from the Blog
Building in public. Sharing what we learn.
Lessons From Building a Unified LLM Provider Layer in Rust
What we learned shipping octolib, the Rust LLM library behind our AI stack: how to abstract multiple LLM providers, normalize tool calls and token usage, and survive the day a model's thinking format returned a 400.
Don Karter
Release Round, July 2026: Octofs 0.5.2, Octolib 0.25.0, Octocode 0.18.1, Octobrain 0.9.1
A month since the June round-up, the whole stack moved again. Octofs finally shipped 0.5.0 — simpler line targeting, a first-class delete, one breaking change. Octolib climbed from 0.23.0 to 0.25.0 with local embeddings, response schema enforcement, and GPT-5.6. Octocode and Octobrain cut fresh patches, every MCP tool now publishes itself to the MCP registry — and the Mac apps moved too, with Timex 1.2.0 and TypeTab 1.1.0.
Don Karter
AI Code Review in CI With an Open-Source Agent: The Setup That Actually Held Up
We wanted a second reviewer that never gets tired but also never hallucinates a problem into existence. Here is how we wired Octomind into GitHub Actions for automated code review — the real octomind-action inputs, running the team's actual lint and test commands through .agents/tools/, keeping CI non-interactive and safe, and bounding the cost.
Don Karter