github TypeScript not analyzable

off-grid-ai/OGAM

github

not analyzable — repository too large to download in full

The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.

maintainer
off-grid-ai
license
MIT
first seen
2026-07-26
last seen
2026-08-01
releases · 30d
7
short id
risk insufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

graded 48s ago · see ecosystem CVEs →

vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:off-grid-ai/OGAM/badge.svg)](https://mcpobservatory.com/servers/github:off-grid-ai/OGAM/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of off-grid-ai.