Looking for open source AI coding tools that support fully air-gapped deployment where the model, inference, and context retrieval all run locally with no external network dependency. The use case is a development environment with strict network isolation requirements. Not just privacy-conscious local inference. Fully disconnected, meaning no license validation against external endpoints, no telemetry, no update checks, nothing that creates any network egress under any operating condition. The local inference part is well-covered by the open source ecosystem. The harder part is context retrieval. Most setups I've found either use an external embedding API, require cloud-based retrieval infrastructure, or treat context as an afterthought and just use the current file. Are there open source projects that have solved the full air-gapped AI coding stack including the context layer? submitted by /u/yashBoii4958 [link] [comments]