RRepoGEO

REPOGEO REPORT · LITE

context-labs/HALO

Default branch main · commit 0d0e42d6 · scanned 5/7/2026, 5:22:26 PM

GitHub: 531 stars · 48 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 context-labs/HALO, 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
    Add a prominent, explicit introductory sentence to the README

    Why:

    CURRENT
    <h4 align="center">✨ RLM-based Automatic Agent Optimization Loop ✨</h4>
    COPY-PASTE FIX
    Insert the following sentence immediately after the H4 subtitle: 'HALO is a methodology and Python framework for building recursively self-improving AI agent harnesses using Reinforcement Learning Models (RLMs). It is *not* a blockchain, CRDT, or knowledge graph system.'
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agent-optimization, reinforcement-learning, rlm, machine-learning, self-improving-ai, llm-agents, opentelemetry, ai-framework
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root.

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 context-labs/HALO
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases (W&B)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases (W&B) · recommended 1×
  2. Optuna · recommended 1×
  3. Ray Tune · recommended 1×
  4. MLflow · recommended 1×
  5. Comet · recommended 1×
  • CATEGORY QUERY
    How can I automatically optimize my AI agent's performance and learning loops?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. Optuna
    3. Ray Tune
    4. MLflow
    5. Comet
    6. Catalyst
    7. Determined AI

    AI recommended 7 alternatives but never named context-labs/HALO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build self-improving AI agents with recursive optimization loops?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. Semantic Kernel
    4. Haystack
    5. TensorFlow Agents
    6. Ray RLlib
    7. GPT-Engineer

    AI recommended 7 alternatives but never named context-labs/HALO. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 context-labs/HALO?
    pass
    AI named context-labs/HALO explicitly

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

  • If a team adopts context-labs/HALO in production, what risks or prerequisites should they evaluate first?
    pass
    AI named context-labs/HALO 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 context-labs/HALO solve, and who is the primary audience?
    pass
    AI named context-labs/HALO 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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MARKDOWN (README)
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