RRepoGEO

REPOGEO REPORT · LITE

DataBassGit/AgentForge

Default branch main · commit fe31abd9 · scanned 6/11/2026, 7:47:13 PM

GitHub: 811 stars · 159 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 DataBassGit/AgentForge, 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 H1 to emphasize multi-agent orchestration and full lifecycle

    Why:

    CURRENT
    AgentForge is a low-code framework for rapid development, testing, and iteration of AI-powered autonomous agents and cognitive architectures.
    COPY-PASTE FIX
    AgentForge is a low-code Python framework for building and orchestrating AI-powered autonomous agents and complex multi-agent systems, supporting their full operational lifecycle from development to deployment.
  • highabout#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://agentforge.net/
  • mediumtopics#3
    Add more specific topics for multi-agent systems and LLM orchestration

    Why:

    CURRENT
    agent-based, agi, ai, artificial-intelligence, python
    COPY-PASTE FIX
    agent-based, agi, ai, artificial-intelligence, python, multi-agent-systems, llm-orchestration, agent-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 DataBassGit/AgentForge
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. CrewAI · recommended 2×
  3. AutoGen · recommended 2×
  4. LlamaIndex · recommended 2×
  5. Haystack · recommended 2×
  • CATEGORY QUERY
    How can I quickly develop and test autonomous AI agents using a low-code Python framework?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. LlamaIndex
    5. Haystack

    AI recommended 5 alternatives but never named DataBassGit/AgentForge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Python frameworks for orchestrating multi-agent systems with diverse LLM models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Haystack
    6. Marvin

    AI recommended 6 alternatives but never named DataBassGit/AgentForge. 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 DataBassGit/AgentForge?
    pass
    AI named DataBassGit/AgentForge explicitly

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

  • If a team adopts DataBassGit/AgentForge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DataBassGit/AgentForge 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 DataBassGit/AgentForge solve, and who is the primary audience?
    pass
    AI named DataBassGit/AgentForge 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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DataBassGit/AgentForge — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite