RRepoGEO

REPOGEO REPORT · LITE

Agent-Field/agentfield

Default branch main · commit 85f47a25 · scanned 5/29/2026, 4:02:03 AM

GitHub: 2,014 stars · 321 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 Agent-Field/agentfield, 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
  • highabout#1
    Update the repository description to emphasize its role as a unified control plane for production AI agents

    Why:

    CURRENT
    Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
    COPY-PASTE FIX
    The unified control plane for production AI agents: build, run, and scale observable, auditable, and identity-aware AI agents as APIs and microservices from day one.
  • mediumreadme#2
    Add a 'Comparison' or 'Why AgentField?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why AgentField? (or Comparison to X, Y, Z)

AgentField is not just an LLM orchestration framework like LangChain, nor solely an API framework like FastAPI, nor only an observability tool like OpenTelemetry. It is a unified control plane designed specifically for building, deploying, and scaling production-grade AI agents as observable, auditable, and identity-aware microservices. It integrates capabilities often found across multiple tools into a single, opinionated platform for agentic applications.
  • lowtopics#3
    Add 'control-plane' and 'ai-control-plane' to the repository topics

    Why:

    CURRENT
    agent, agent-auth, agent-authentication, agent-indentity, agent-scaling, agentic-ai, ai, ai-backend, aiagent, anthropic, cloud-native, genai, go, kubernetes, llm, multiagent, multiagent-systems, python, rag, typescript
    COPY-PASTE FIX
    agent, agent-auth, agent-authentication, agent-indentity, agent-scaling, agentic-ai, ai, ai-backend, aiagent, anthropic, cloud-native, control-plane, ai-control-plane, genai, go, kubernetes, llm, multiagent, multiagent-systems, python, rag, typescript

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 Agent-Field/agentfield
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Prometheus · recommended 2×
  3. OpenTelemetry · recommended 2×
  4. FastAPI · recommended 1×
  5. Kubernetes · recommended 1×
  • CATEGORY QUERY
    How can I build and scale AI agents like reliable backend APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. FastAPI
    3. Kubernetes
    4. Docker
    5. Redis
    6. Prometheus
    7. Grafana
    8. OpenTelemetry

    AI recommended 8 alternatives but never named Agent-Field/agentfield. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework supports developing observable and auditable multi-agent systems using Python, Go, or TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. Haystack
    4. OpenTelemetry
    5. Mesa
    6. Akka
    7. Asynq
    8. Thespian
    9. xstate
    10. Go-Routines and Channels
    11. Prometheus
    12. Pykka
    13. NestJS
    14. RabbitMQ
    15. Kafka
    16. NATS

    AI recommended 16 alternatives but never named Agent-Field/agentfield. 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 Agent-Field/agentfield?
    pass
    AI named Agent-Field/agentfield explicitly

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

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