github Python not analyzable

agentlas-ai/Agentlas-OS

github

not analyzable — repository too large to download in full

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

maintainer
agentlas-ai
license
Apache-2.0
first seen
2026-07-08
last seen
2026-08-01
releases · 30d
86
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 46s ago · see ecosystem CVEs →

capability exposure grade factor +35
Inferred surface — each links to servers holding it:
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:agentlas-ai/Agentlas-OS/badge.svg)](https://mcpobservatory.com/servers/github:agentlas-ai/Agentlas-OS/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 agentlas-ai.