RRepoGEO

REPOGEO REPORT · LITE

aiming-lab/Agent0

Default branch main · commit 30e1882a · scanned 5/27/2026, 7:08:41 PM

GitHub: 1,197 stars · 141 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 aiming-lab/Agent0, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Refine the README's main heading (H1) to clarify the project's domain

    Why:

    CURRENT
    # Agent0 Series: Self-Evolving Agents from Zero Data
    COPY-PASTE FIX
    # Agent0 Series: Self-Evolving AI Agents for Autonomous Reasoning and Tool Use
  • mediumreadme#2
    Add a concise problem/solution statement to the README overview

    Why:

    CURRENT
    The **Agent0 Series** explores a new direction for autonomous agent development, showing that capable agents can improve and evolve without relying on human-curated datasets or handcrafted supervision. This repository brings together two complementary studies that advance self-improving agents through tool-integrated reasoning.
    COPY-PASTE FIX
    The Agent0 Series presents a novel framework for developing autonomous AI agents that learn and improve without human-curated data. It uniquely focuses on enabling agents to evolve through multi-step co-evolution and seamless tool integration, addressing the challenge of creating truly self-improving AI.

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 aiming-lab/Agent0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/gym · recommended 1×
  2. Farama-Foundation/Gymnasium · recommended 1×
  3. DLR-RM/stable-baselines3 · recommended 1×
  4. deepmind/acme · recommended 1×
  5. Unity-Technologies/ml-agents · recommended 1×
  • CATEGORY QUERY
    How to build autonomous agents that learn and improve without human data?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym (openai/gym)
    2. Farama Foundation Gymnasium (Farama-Foundation/Gymnasium)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. DeepMind's Acme (deepmind/acme)
    5. Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
    6. Ray RLib (ray-project/ray)
    7. PyTorch Lightning (Lightning-AI/lightning)
    8. DEAP (deap/deap)
    9. JAX (google/jax)
    10. Equinox (patrick-kidger/equinox)
    11. Haiku (deepmind/dm-haiku)
    12. Flax (google/flax)

    AI recommended 12 alternatives but never named aiming-lab/Agent0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable AI agents to integrate tools for reasoning and self-improvement?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. OpenAI Assistants API
    5. Microsoft AutoGen
    6. Haystack

    AI recommended 6 alternatives but never named aiming-lab/Agent0. 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 aiming-lab/Agent0?
    pass
    AI named aiming-lab/Agent0 explicitly

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

  • If a team adopts aiming-lab/Agent0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aiming-lab/Agent0 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 aiming-lab/Agent0 solve, and who is the primary audience?
    pass
    AI named aiming-lab/Agent0 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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aiming-lab/Agent0 — 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