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AweAI-Team/AiScientist

Open source
Research-Agent Systems Updated Sep 16, 2026
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Compared with 21 other Research-Agent Systems agents Open source Self-hostable Updated Sep 2026
Open Source Updated Sep 2026 Self-hostable

Pricing

Open Source

Pricing not applicable (open-source).

Use cases

Reproducing ML research papers autonomously Running iterative model benchmarking under resource constraints Coordinating hierarchical AI agents for research tasks Managing ML experiments via file-based system of record

Pros & cons

Pros

  • Open-source and self-hostable
  • Structured approach to reproducible research
  • File-based coordination simplifies durability and debugging

Cons

  • Likely requires technical expertise to deploy and configure
  • Limited documentation or community support (inferred from GitHub presence)
  • Specialized for research workflows, less general-purpose

Overview

AiScientist is an AI research agent designed for long-horizon machine learning tasks, using hierarchical orchestration and file-based coordination to autonomously reproduce research papers (PaperBench) and iterate on competition-style ML engineering benchmarks (MLE-Bench) under constrained compute/time budgets.

Problem it solves

It automates complex ML research workflows, reducing manual effort in reproducing papers and benchmarking models under fixed resource constraints.

Target audience: Developers and teams working with research-agent systems automation.

Inputs

  • User configuration
  • API credentials (if required)
  • Task parameters

Outputs

  • Automated task results
  • Status reports
  • Generated content or actions

Example workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample system prompt 


              You are AweAI-Team/AiScientist, an AI assistant. Help the user accomplish their task efficiently.

Tools & technologies

LLM APIs Python

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FAQs

What is AweAI-Team/AiScientist?
AiScientist is an AI research agent designed for long-horizon machine learning tasks, using hierarchical orchestration and file-based coordination to autonomously reproduce research papers (PaperBench) and iterate on competition-style ML engineering benchmarks (MLE-Bench) under constrained compute/time budgets.
How much does AweAI-Team/AiScientist cost?
AweAI-Team/AiScientist's pricing model is Open Source. Pricing not applicable (open-source).
What is AweAI-Team/AiScientist used for?
AweAI-Team/AiScientist is used for: Reproducing ML research papers autonomously; Running iterative model benchmarking under resource constraints; Coordinating hierarchical AI agents for research tasks; Managing ML experiments via file-based system of record.
What are the best alternatives to AweAI-Team/AiScientist?
AweAI-Team/AiScientist is a Research-Agent Systems AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our AweAI-Team/AiScientist alternatives page.
Is AweAI-Team/AiScientist open source?
Yes, AweAI-Team/AiScientist is open source.
Can AweAI-Team/AiScientist be self-hosted?
Yes, AweAI-Team/AiScientist can be self-hosted.
What skill level is required to use AweAI-Team/AiScientist?
AweAI-Team/AiScientist is designed for intermediate users.

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