RRepoGEO

REPOGEO REPORT · LITE

agi-inc/agent-protocol

Default branch main · commit 50471991 · scanned 5/10/2026, 5:52:15 PM

GitHub: 1,461 stars · 185 forks

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 agi-inc/agent-protocol, 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 the README's opening to clearly state its purpose as an AI agent interoperability protocol

    Why:

    CURRENT
    <h1 align="center">
  
</h1>
<p align="center">

  <a href="https://www.linkedin.com/company/the-agi-company" target="_blank">
    
  </a>
  <a href="https://x.com/the_agi_company" target="_blank">
    
  </a>
  
</p>

Maintained by **<a href="https://agi.tech" target="_blank">AGI, Inc.</a>**
## 📚 Docs

**You can find more info in the docs.**

## 🧾 Summary

The AI agent space is young. Most developers are building agents in their own way. This creates a challenge:
    COPY-PASTE FIX
    # Agent Protocol: A Standardized API for AI Agent Interoperability

The Agent Protocol defines a common, tech-stack-agnostic API specification for AI agents, enabling seamless communication and comparison across diverse agent implementations and platforms. This open standard aims to accelerate the AI agent ecosystem by simplifying integrations and tooling development.

Maintained by **<a href="https://agi.tech" target="_blank">AGI, Inc.</a>**
## 📚 Docs

**You can find more info in the docs.**

## 🧾 Summary
  • mediumtopics#2
    Add more specific topics related to AI agent interoperability and standards

    Why:

    CURRENT
    agents, ai, ai-agent, api, auto-gpt, gpt-4, javascript, llms, openapi, protocol, python, typescript
    COPY-PASTE FIX
    agents, ai, ai-agent, api, auto-gpt, gpt-4, javascript, llms, openapi, protocol, python, typescript, agent-interoperability, ai-standards, agent-api-specification, agent-communication
  • lowabout#3
    Refine the repository description to emphasize standardization and interoperability for AI agents

    Why:

    CURRENT
    Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
    COPY-PASTE FIX
    A standardized, tech-stack-agnostic API specification for seamless communication and interoperability between diverse AI agents and platforms.

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 agi-inc/agent-protocol
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAPI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAPI · recommended 1×
  2. AsyncAPI · recommended 1×
  3. gRPC · recommended 1×
  4. Apache Kafka · recommended 1×
  5. RabbitMQ · recommended 1×
  • CATEGORY QUERY
    How can I standardize communication between different AI agents and tools?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI
    2. AsyncAPI
    3. gRPC
    4. Apache Kafka
    5. RabbitMQ
    6. JSON Schema
    7. LangChain
    8. LlamaIndex
    9. GraphQL
    10. Dapr

    AI recommended 10 alternatives but never named agi-inc/agent-protocol. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a common interface for interacting with diverse autonomous AI agent systems.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym/Farama Gymnasium (Farama-Foundation/Gymnasium)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Haystack (deepset-ai/haystack)
    5. AutoGPT/BabyAGI (Significant-Gravitas/AutoGPT)
    6. ROS (Robot Operating System)
    7. gRPC/Protocol Buffers (grpc/grpc)

    AI recommended 7 alternatives but never named agi-inc/agent-protocol. 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 agi-inc/agent-protocol?
    pass
    AI did not name agi-inc/agent-protocol — 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 agi-inc/agent-protocol in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agi-inc/agent-protocol 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 agi-inc/agent-protocol solve, and who is the primary audience?
    pass
    AI named agi-inc/agent-protocol explicitly

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

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agi-inc/agent-protocol — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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