RRepoGEO

REPOGEO REPORT · LITE

cloudflare/agents

Default branch main · commit c043469e · scanned 5/19/2026, 4:32:44 PM

GitHub: 4,931 stars · 552 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)

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

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 cloudflare/agents, 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
    Reposition README opening to clarify it's a framework for stateful AI agents

    Why:

    CURRENT
    Agents are persistent, stateful execution environments for agentic workloads, powered by Cloudflare Durable Objects. Each agent has its own state, storage, and lifecycle — with built-in support for real-time communication, scheduling, AI model calls, MCP, workflows, and more.
    COPY-PASTE FIX
    Cloudflare Agents is a **framework** for building and deploying persistent, stateful AI agents on Cloudflare. Powered by Cloudflare Durable Objects, each agent provides its own state, storage, and lifecycle — with built-in support for real-time communication, scheduling, AI model calls, MCP, and workflows. This enables highly scalable, stateful serverless functions specifically designed for AI workloads, differentiating it from generic serverless compute.
  • mediumtopics#2
    Add specific keywords to topics for statefulness, real-time, and serverless AI

    Why:

    CURRENT
    agents, ai, cloudflare, durable-objects, workflows
    COPY-PASTE FIX
    agents, ai, cloudflare, durable-objects, workflows, stateful, real-time, serverless-ai
  • lowreadme#3
    Add a brief "Key Features" section to highlight unique capabilities

    Why:

    COPY-PASTE FIX
    ## Key Features

- **Persistent & Stateful:** Each agent maintains its own state and storage, costing nothing when idle.
- **Real-time Communication:** Built-in support for real-time interactions.
- **AI Model Integration:** Seamlessly call AI models for agentic workloads.
- **Scalable & Serverless:** Run millions of agents globally on Cloudflare's network.
- **Workflow Orchestration:** Support for complex agentic workflows.

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 cloudflare/agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS Lambda
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 3×
  2. Google Cloud Functions · recommended 3×
  3. Azure Functions · recommended 3×
  4. Amazon DynamoDB · recommended 1×
  5. AWS IoT Core · recommended 1×
  • CATEGORY QUERY
    How to build serverless AI agents with persistent state and real-time communication?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. Amazon DynamoDB
    3. AWS IoT Core
    4. Amazon API Gateway
    5. LangChain
    6. LlamaIndex
    7. Google Cloud Functions
    8. Google Cloud Firestore
    9. Google Cloud Pub/Sub
    10. Google Cloud Endpoints
    11. Azure Functions
    12. Azure Cosmos DB
    13. Azure SignalR Service
    14. Vercel Functions
    15. Netlify Functions
    16. Upstash Redis
    17. FaunaDB
    18. Pusher
    19. Ably
    20. Cloudflare Workers
    21. Cloudflare D1
    22. Cloudflare KV
    23. Cloudflare Durable Objects

    AI recommended 23 alternatives but never named cloudflare/agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for highly scalable, stateful serverless functions that support AI workloads?
    you: not recommended
    AI recommended (in order):
    1. AWS Step Functions
    2. AWS Lambda
    3. Amazon SageMaker
    4. Azure Durable Functions
    5. Azure Functions
    6. Azure Machine Learning
    7. Google Cloud Workflows
    8. Google Cloud Functions
    9. Google Cloud AI Platform
    10. Vertex AI
    11. Knative
    12. Kubernetes
    13. Google Kubernetes Engine
    14. Azure Kubernetes Service
    15. Amazon Elastic Kubernetes Service
    16. Kubeflow
    17. Temporal
    18. AWS Lambda
    19. Google Cloud Functions
    20. Azure Functions
    21. Apache Flink
    22. Amazon Kinesis Data Analytics
    23. Google Cloud Dataflow

    AI recommended 23 alternatives but never named cloudflare/agents. 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 cloudflare/agents?
    pass
    AI named cloudflare/agents explicitly

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

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

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

Embed your GEO score

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cloudflare/agents — RepoGEO report