offgrid Pinta365 · PARTIAL
A native library that adds local, offline AI to an application: chat, tool calling, structured JSON output, embeddings, and image and audio input. You link a library, ship a GGUF model next to your app, and that's it. No daemon, no Docker, no cloud, and no network access at runtime.
github.com/Pinta365/offgrid · ★ 1 · Forks 0 · Size 1.5 MB
SUMMARY
Technologies 19
Scored 17
Observed 17
Practices 6
Evidence 25
Skips 2
COVERAGE
Analyzed 118 files · 72 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
9 files · PRODUCTION
Shell LANGUAGE Depth 70
7 files · PRODUCTION
C++ LANGUAGE Depth 70
1 files · PRODUCTION
C LANGUAGE Depth 70
3 files · PRODUCTION
Rust LANGUAGE Depth 70
47 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
4 files · PRODUCTION
Markdown LANGUAGE Depth 70
8 files · PRODUCTION
TOML LANGUAGE Depth 70
9 files · PRODUCTION
YAML LANGUAGE Depth 70
4 files · PRODUCTION
Cargo BUILD_TOOL Depth 80
1 files · CONFIGURATION
Axum FRAMEWORK Depth 70
4 files · PRODUCTION
Clap LIBRARY Depth —
0 files · config only
Next.js FRAMEWORK Depth 58
1 files · PRODUCTION
Reqwest LIBRARY Depth —
0 files · config only
Serde LIBRARY Depth 78
10 files · PRODUCTION
Tokio LIBRARY Depth 70
4 files · PRODUCTION
Tokio Stream LIBRARY Depth 62
2 files · PRODUCTION
debug LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-10-07
Last commit 2026-10-16
Active months 1
Commits 72