RRepoGEO

REPOGEO REPORT · LITE

boxlite-ai/boxlite

Default branch main · commit b4890f5f · scanned 6/26/2026, 11:31:40 PM

GitHub: 2,100 stars · 131 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /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
2 / 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 boxlite-ai/boxlite, 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
    Strengthen README's opening to clarify BoxLite's unique positioning for AI agents

    Why:

    CURRENT
    A **Box** is a hardware-isolated micro-VM that runs any OCI image — and it persists. Agents install packages, write files, and resume across turns, never from cold.
    COPY-PASTE FIX
    BoxLite provides **hardware-isolated micro-VMs** that run any OCI image, specifically designed as a **persistent compute substrate for AI agents**. Unlike general container runtimes or cloud platforms, BoxLite offers stronger isolation than containers, a lighter footprint than full VMs, and enables agents to install packages, write files, and resume across turns without cold starts.
  • mediumreadme#2
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'BoxLite vs. Alternatives' or 'Why BoxLite?' that explicitly compares BoxLite to technologies like Kata Containers, Firecracker, and even general containerization (Docker) or cloud platforms (Kubernetes/SageMaker) in the context of AI agents, highlighting its unique value proposition.
  • lowtopics#3
    Expand GitHub topics with more specific virtualization and agent runtime terms

    Why:

    CURRENT
    agentic, ai-agent, embedded, rust, sandbox, security, self-hosted, serverless, virtualization
    COPY-PASTE FIX
    agentic, ai-agent, embedded, rust, sandbox, security, self-hosted, serverless, virtualization, micro-vm, oci-runtime, agent-runtime

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 boxlite-ai/boxlite
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kubernetes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kubernetes · recommended 1×
  2. AWS SageMaker · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Azure Machine Learning · recommended 1×
  5. NVIDIA AI Enterprise · recommended 1×
  • CATEGORY QUERY
    How to provide secure, persistent, and isolated compute environments for AI agents?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. AWS SageMaker
    3. Google Cloud Vertex AI
    4. Azure Machine Learning
    5. NVIDIA AI Enterprise
    6. VMware vSphere
    7. OpenShift
    8. Docker
    9. Docker Compose
    10. Docker Swarm
    11. Firecracker

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a secure, lightweight runtime for OCI images, offering better isolation than containers.
    you: not recommended
    AI recommended (in order):
    1. Kata Containers (kata-containers/kata-containers)
    2. gVisor (google/gvisor)
    3. Firecracker (firecracker-microvm/firecracker)
    4. Nabla Containers (nabla-containers/nabla-containers)
    5. CRI-O (cri-o/cri-o)
    6. KubeVirt (kubevirt/kubevirt)

    AI recommended 6 alternatives but never named boxlite-ai/boxlite. 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 boxlite-ai/boxlite?
    pass
    AI did not name boxlite-ai/boxlite — likely talking about a different project

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

  • If a team adopts boxlite-ai/boxlite in production, what risks or prerequisites should they evaluate first?
    pass
    AI named boxlite-ai/boxlite 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 boxlite-ai/boxlite solve, and who is the primary audience?
    pass
    AI named boxlite-ai/boxlite explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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