RRepoGEO

REPOGEO REPORT · LITE

ysymyth/awesome-language-agents

Default branch main · commit fad302ff · scanned 5/26/2026, 10:48:01 PM

GitHub: 1,219 stars · 84 forks

AI VISIBILITY SCORE
22 /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
1 / 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 ysymyth/awesome-language-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
    Clarify README's opening sentence to emphasize 'research compilation'

    Why:

    CURRENT
    A compilation of language agents using the **Cognitive Architectures for Language Agents (🐨CoALA)** framework.
    COPY-PASTE FIX
    A curated compilation of research papers and projects on language agents, organized using the **Cognitive Architectures for Language Agents (🐨CoALA)** framework.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of the Creative Commons Attribution 4.0 International License (CC-BY-4.0).
  • mediumabout#3
    Refine the repository's 'About' description

    Why:

    CURRENT
    List of language agents based on paper "Cognitive Architectures for Language Agents"
    COPY-PASTE FIX
    A curated list of research papers and projects on language agents, structured around the "Cognitive Architectures for Language Agents" (CoALA) framework.

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 ysymyth/awesome-language-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. joaomdmoura/crewai · recommended 1×
  • CATEGORY QUERY
    What are the best frameworks for developing AI agents capable of complex reasoning and interaction?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. CrewAI (joaomdmoura/crewai)
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named ysymyth/awesome-language-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I find different architectural patterns for building robust language-based AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Semantic Kernel
    4. Designing Data-Intensive Applications by Martin Kleppmann
    5. Hugging Face Transformers Library
    6. OpenAI API

    AI recommended 6 alternatives but never named ysymyth/awesome-language-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
    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 ysymyth/awesome-language-agents?
    pass
    AI did not name ysymyth/awesome-language-agents — 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 ysymyth/awesome-language-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ysymyth/awesome-language-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 ysymyth/awesome-language-agents solve, and who is the primary audience?
    pass
    AI did not name ysymyth/awesome-language-agents — 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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ysymyth/awesome-language-agents — 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