RRepoGEO

REPOGEO REPORT · LITE

unicity-astrid/astrid

Default branch main · commit 7282a703 · scanned 6/5/2026, 11:11:33 PM

GitHub: 7,166 stars · 65 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 unicity-astrid/astrid, 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

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

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's unique positioning against common alternatives

    Why:

    CURRENT
    Astrid is a user-space microkernel that treats AI agents the way Linux treats processes. It has a kernel with a boot sequence, a virtual filesystem with copy-on-write overlay, ed25519 capability tokens, an IPC event bus, WASM process isolation, and a cryptographic audit trail where each entry hashes the previous.
    COPY-PASTE FIX
    Astrid is a user-space microkernel that treats AI agents the way Linux treats processes. It provides a secure, auditable, and isolated *operating system* environment specifically designed for autonomous AI agents. Unlike general-purpose containerization (e.g., Docker, Kubernetes) or high-level agent frameworks (e.g., LangChain, LlamaIndex), Astrid offers a dedicated, composable runtime that ensures agent integrity, resource management, and verifiable execution from the ground up.
  • mediumhomepage#2
    Add a homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://[YOUR_PROJECT_HOMEPAGE_URL_HERE]

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 unicity-astrid/astrid
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker with Docker Compose
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker with Docker Compose · recommended 1×
  2. Kubernetes · recommended 1×
  3. Firecracker · recommended 1×
  4. gVisor · recommended 1×
  5. Kata Containers · recommended 1×
  • CATEGORY QUERY
    How to create an isolated and auditable execution environment for autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. Docker with Docker Compose
    2. Kubernetes
    3. Firecracker
    4. gVisor
    5. Kata Containers
    6. AWS Lambda
    7. Google Cloud Functions
    8. Azure Functions

    AI recommended 8 alternatives but never named unicity-astrid/astrid. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a highly modular and composable framework for building custom AI agent systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. CrewAI (joaomdmoura/crewai)
    6. Microsoft Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 6 alternatives but never named unicity-astrid/astrid. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 unicity-astrid/astrid?
    pass
    AI named unicity-astrid/astrid explicitly

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

  • If a team adopts unicity-astrid/astrid in production, what risks or prerequisites should they evaluate first?
    pass
    AI named unicity-astrid/astrid 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 unicity-astrid/astrid solve, and who is the primary audience?
    pass
    AI did not name unicity-astrid/astrid — 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?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite