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

Of all named tools, what % are you?

Top rival

Weights & Biases (W&B)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Weights & Biases (W&B) · recommended 1×
Optuna · recommended 1×
Ray Tune · recommended 1×
MLflow · recommended 1×
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

Drop this badge into the README of context-labs/HALO. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/context-labs/HALO.svg)](https://repogeo.com/en/r/context-labs/HALO)

HTML

<a href="https://repogeo.com/en/r/context-labs/HALO"><img src="https://repogeo.com/badge/context-labs/HALO.svg" alt="RepoGEO" /></a>

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