REPOGEO REPORT · LITE

PrimeIntellect-ai/OpenDiloco

Default branch main · commit 2d750e58 · scanned 6/13/2026, 9:48:04 PM

GitHub: 578 stars · 48 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 PrimeIntellect-ai/OpenDiloco, 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 the 'unmaintained' notice and clarify core purpose in README

Why:

CURRENT

# OpenDiLoCo

This repository contains the training code and experiment results for the paper OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training.

> **Important Notice**: OpenDiLoCo is no longer maintained. For our production-ready distributed training solution, please check out prime, which offers improved fault tolerance, bandwidth utilization, and scalability.

COPY-PASTE FIX

# OpenDiLoCo: An Unmaintained Framework for Globally Distributed Low-Communication Training

> **Important Notice**: OpenDiLoCo is no longer maintained. For our production-ready distributed training solution, please check out [prime](https://github.com/PrimeIntellect-ai/prime), which offers improved fault tolerance, bandwidth utilization, and scalability.

This repository contains the training code and experiment results for the paper OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training.

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

distributed-training, deep-learning, machine-learning, low-communication, distributed-ai, distributed-ml, distributed-systems, pytorch

mediumabout#3

Update the GitHub description to reflect unmaintained status

Why:

CURRENT

OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

COPY-PASTE FIX

OpenDiLoCo: An unmaintained open-source framework for globally distributed low-communication training. See `prime` for our production-ready solution.

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 PrimeIntellect-ai/OpenDiloco

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

tensorflow/federated

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

tensorflow/federated · recommended 1×
OpenMined/PySyft · recommended 1×
horovod/horovod · recommended 1×
pytorch/pytorch · recommended 1×
apache/spark · recommended 1×

CATEGORY QUERY
How to train machine learning models efficiently across geographically dispersed data centers?
you: not recommended
AI recommended (in order):
1. TensorFlow Federated (tensorflow/federated)
2. PySyft (OpenMined/PySyft)
3. Horovod (horovod/horovod)
4. PyTorch Distributed (pytorch/pytorch)
5. Apache Spark MLlib (apache/spark)
6. Ray (ray-project/ray)
7. MLflow (mlflow/mlflow)
AI recommended 7 alternatives but never named PrimeIntellect-ai/OpenDiloco. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What open-source frameworks minimize communication overhead for large-scale distributed deep learning?
you: not recommended
AI recommended (in order):
1. DeepSpeed
2. FairScale
3. PyTorch Distributed
4. FSDP
5. Horovod
6. TensorFlow Distributed
7. tf.data.experimental.service
AI recommended 7 alternatives but never named PrimeIntellect-ai/OpenDiloco. 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 PrimeIntellect-ai/OpenDiloco?
pass
AI named PrimeIntellect-ai/OpenDiloco explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts PrimeIntellect-ai/OpenDiloco in production, what risks or prerequisites should they evaluate first?
pass
AI named PrimeIntellect-ai/OpenDiloco 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 PrimeIntellect-ai/OpenDiloco solve, and who is the primary audience?
pass
AI named PrimeIntellect-ai/OpenDiloco 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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PrimeIntellect-ai/OpenDiloco — 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