Show HN: SiloBrief – Selectively export code context from air-gapped networks

SiloBrief, an open-source utility for extracting code context from air-gapped or otherwise isolated networks, appeared on Hacker News on August 26, 2026, posted by author i70h4n as a Show HN submission with a GitHub repository as its primary reference.

The tool addresses a specific friction point for developers working inside secure or restricted environments: getting relevant code context out of an isolated system in a controlled, selective way so it can be fed to an AI coding assistant or language model running outside that perimeter. Rather than copying entire codebases or manually assembling snippets, SiloBrief lets users define what context to export, keeping the transfer scoped and auditable.

Per the Hacker News listing, the project is in early-public stage — the Show HN post had 1 point and no comments at the time of indexing. No company, founding team, or external funding is mentioned in the available sources; SiloBrief appears to be an independent open-source release by a solo developer.

Air-gapped networks — systems physically or logically isolated from the public internet — are common in defense, finance, healthcare, and critical infrastructure. The rise of AI-assisted development has created a new class of workflow problem in these environments: developers want the productivity benefits of tools like GitHub Copilot or ChatGPT, but cannot route proprietary or classified code through external APIs. SiloBrief targets that gap directly, offering a structured export mechanism rather than ad-hoc copy-paste.

No roadmap, contributor list, or licensing details were available in the indexed source material beyond the GitHub repository link. Further details on supported languages, export formats, and integration targets would be found in the repository itself.