RRepoGEO

REPOGEO REPORT · LITE

nolabs-ai/nono

Default branch main · commit 691e0f4f · scanned 6/27/2026, 11:46:39 AM

GitHub: 2,829 stars · 196 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface nolabs-ai/nono, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify nolabs-ai/nono's specific focus on AI agent sandboxing in the README's opening.

    Why:

    CURRENT
    Run AI agents in a zero latency sandbox in seconds and with zero setup — Claude Code, Codex, Pi, CoPilot, Hermes, OpenCode, OpenClaw and more — nono gets you up and running within seconds, with no daemon, no container, no VM, and no disk space usage.
    COPY-PASTE FIX
    nono is a specialized, zero-setup, zero-latency sandbox *specifically for AI agents* to execute code securely. It is not a general-purpose sandbox or an AI framework, but a dedicated environment for agents like Claude Code, Codex, Pi, CoPilot, Hermes, OpenCode, OpenClaw, and more, requiring no daemons, containers, VMs, or disk space.
  • highreadme#2
    Add a clear statement about nolabs-ai/nono's current stability and production readiness.

    Why:

    COPY-PASTE FIX
    nolabs-ai/nono is engineered for secure, production-grade AI agent execution, with APIs stabilizing towards a 1.0 release. It is already being used by engineers in various workflows.
  • mediumreadme#3
    Add a section to the README differentiating nolabs-ai/nono from general-purpose sandboxing tools.

    Why:

    COPY-PASTE FIX
    ### How is nono different from general-purpose sandboxes like gVisor or Kata Containers?
While tools like gVisor, Kata Containers, and Firecracker provide robust system-level isolation, nono is purpose-built for the unique security and execution needs of AI agents. It offers zero-setup, zero-latency sandboxing specifically optimized for AI agent code execution, focusing on least-privilege environments tailored for agent interactions rather than full system virtualization or containerization.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface nolabs-ai/nono
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AppArmor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AppArmor · recommended 2×
  2. SELinux · recommended 2×
  3. gVisor · recommended 1×
  4. Kata Containers · recommended 1×
  5. Firecracker · recommended 1×
  • CATEGORY QUERY
    How to securely sandbox AI agents with zero setup and minimal latency?
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Kata Containers
    3. Firecracker
    4. NSjail
    5. Docker
    6. AppArmor
    7. SELinux
    8. Seccomp
    9. Wasmtime
    10. Wasmer

    AI recommended 10 alternatives but never named nolabs-ai/nono. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for securing AI agent code execution in a zero-trust environment?
    you: not recommended
    AI recommended (in order):
    1. Kata Containers (kata-containers/kata-containers)
    2. gVisor (google/gvisor)
    3. Open Policy Agent (OPA) (open-policy-agent/opa)
    4. Styra Declarative Authorization Service (DAS)
    5. SELinux
    6. AppArmor
    7. Intel SGX
    8. AMD SEV
    9. Azure Confidential Computing
    10. Google Confidential VMs
    11. Falco (falcosecurity/falco)

    AI recommended 11 alternatives but never named nolabs-ai/nono. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of nolabs-ai/nono?
    pass
    AI named nolabs-ai/nono explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts nolabs-ai/nono in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nolabs-ai/nono explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo nolabs-ai/nono solve, and who is the primary audience?
    pass
    AI named nolabs-ai/nono explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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nolabs-ai/nono — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite