Show HN: Oynix – Make your coding agent aware of your whole codebase, locally

Oynix, a tool that gives coding agents full awareness of a local codebase without uploading code to the cloud, surfaced on Hacker News on August 25, 2026, posted by author priyammm05.

The project, accessible at oynix.dev, is pitched as a local-first solution to a common limitation of AI coding assistants: context windows and privacy constraints mean agents typically work with only a narrow slice of a codebase at any given time. Oynix appears to address that by indexing the full project locally, keeping the code on the developer's own machine rather than routing it through a third-party service.

Beyond the headline and the Hacker News listing, no additional sources confirm funding, team size, founding date, or specific technical architecture. The post received one point and one comment at the time of listing, indicating it is an early-stage or solo launch with limited community engagement so far.

The local-processing angle places Oynix in a growing category of developer tools that prioritize data privacy over the convenience of hosted AI services. Several established coding assistants — such as those backed by large cloud providers — process code on remote infrastructure, which can be a concern for developers working on proprietary or sensitive codebases. Oynix's stated local-first approach differentiates it from that model, though no independent benchmarks or user counts are available from the sources to substantiate performance claims.

The single available source provides no detail on pricing, supported languages or editors, integration methods, or any roadmap. Developers interested in the tool would need to visit oynix.dev directly for technical specifics.