RRepoGEO

REPOGEO REPORT · LITE

FoundationAgents/ReCode

Default branch main · commit 6e7223f7 · scanned 6/6/2026, 12:52:31 AM

GitHub: 554 stars · 65 forks

AI VISIBILITY SCORE
35 /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
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 FoundationAgents/ReCode, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-agents, agent-framework, recursive-code-generation, ai-agents, large-language-models, planning, action-execution
  • highreadme#2
    Reposition README opening to explicitly state 'LLM Agent Framework'

    Why:

    CURRENT
    ReCode introduces recursive code generation for LLM agents, unifying plan and action into a single representation.
    COPY-PASTE FIX
    ReCode is an LLM agent framework that introduces recursive code generation, unifying plan and action into a single representation.
  • mediumhomepage#3
    Add the arXiv paper link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2510.23564

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 FoundationAgents/ReCode
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. LlamaIndex · recommended 2×
  3. AutoGPT · recommended 2×
  4. CrewAI · recommended 2×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How can I build an LLM agent that dynamically plans and executes complex tasks with adaptive granularity?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named FoundationAgents/ReCode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps LLM agents decompose complex problems into executable subroutines recursively?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. LangChain
    4. LlamaIndex
    5. CrewAI

    AI recommended 5 alternatives but never named FoundationAgents/ReCode. 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 FoundationAgents/ReCode?
    pass
    AI named FoundationAgents/ReCode explicitly

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

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

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

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MARKDOWN (README)
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FoundationAgents/ReCode — 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