RRepoGEO

REPOGEO REPORT · LITE

mims-harvard/AutoScientists

Default branch main · commit c71a9234 · scanned 6/7/2026, 10:47:38 AM

GitHub: 554 stars · 88 forks

AI VISIBILITY SCORE
28 /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
2 / 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 mims-harvard/AutoScientists, 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
    Clarify README opening to specify computational science and differentiate from generic agents

    Why:

    CURRENT
    **AutoScientists** is a decentralized team of AI agents for long-running computational scientific experimentation.
    COPY-PASTE FIX
    **AutoScientists** is a decentralized team of AI agents specifically designed for **long-running computational scientific experimentation**. Unlike generic agent frameworks or systems for physical lab automation, AutoScientists agents self-organize into teams around promising hypotheses, critique each other's proposals before spending experimental compute, and share successes and failures to avoid redundant exploration and sustain parallel search as evidence accumulates over hours or days.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Choose and add an appropriate LICENSE file, e.g., MIT, Apache-2.0, or GPL-3.0, to the repository root.)
  • mediumtopics#3
    Add more specific scientific computing and ML for science topics

    Why:

    CURRENT
    agents, ai-for-science, ai-for-scientific-discovery, ai-scientists, automated-science, long-running-agents, self-evolving-agents, self-organizing
    COPY-PASTE FIX
    agents, ai-for-science, ai-for-scientific-discovery, ai-scientists, automated-science, long-running-agents, self-evolving-agents, self-organizing, computational-science, machine-learning-for-science, bioinformatics, scientific-discovery-automation

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 mims-harvard/AutoScientists
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 2×
  2. LangChain · recommended 2×
  3. Mirasol · recommended 1×
  4. Snakemake · recommended 1×
  5. Prefect · recommended 1×
  • CATEGORY QUERY
    How can I automate long-running scientific experiments using self-organizing AI agents?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. Mirasol
    4. Snakemake
    5. Prefect
    6. Ray RLib
    7. OpenAI Gym
    8. Farama Gymnasium

    AI recommended 8 alternatives but never named mims-harvard/AutoScientists. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a platform for AI agents to collaborate on complex, long-duration scientific problems.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. CrewAI
    4. OpenAI Assistants API
    5. Microsoft AutoGen
    6. Haystack

    AI recommended 6 alternatives but never named mims-harvard/AutoScientists. 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 mims-harvard/AutoScientists?
    pass
    AI did not name mims-harvard/AutoScientists — likely talking about a different project

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

  • If a team adopts mims-harvard/AutoScientists in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mims-harvard/AutoScientists 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 mims-harvard/AutoScientists solve, and who is the primary audience?
    pass
    AI named mims-harvard/AutoScientists 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 mims-harvard/AutoScientists. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mims-harvard/AutoScientists.svg)](https://repogeo.com/en/r/mims-harvard/AutoScientists)
HTML
<a href="https://repogeo.com/en/r/mims-harvard/AutoScientists"><img src="https://repogeo.com/badge/mims-harvard/AutoScientists.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mims-harvard/AutoScientists — 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