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---
title: MAKER Agent
emoji: 🔧
colorFrom: indigo
colorTo: purple
sdk: gradio
app_file: app.py
pinned: false
license: mit
short_description: Reliable AI Agent with Voting
---
# 🔧 MAKER Agent
**Reliable AI with Voting & Red-Flagging**
Based on the paper: [Solving a Million-Step LLM Task with Zero Errors](https://arxiv.org/abs/2511.09030)
## What is MAKER?
MAKER (Massively Decomposed Agentic Processes) is a framework that achieves **near-zero errors** over long task sequences by:
| Pillar | Description |
|--------|-------------|
| **Maximal Decomposition** | Break tasks into single-step atomic operations |
| **K-Voting** | Sample multiple times, winner needs K votes ahead |
| **Red-Flagging** | Discard suspicious outputs (don't repair them) |
## Key Insight
> *"Reliability is an engineering problem, not a model problem."*
Instead of waiting for better models, you can achieve near-zero errors TODAY using smaller, cheaper models with statistical voting.
The paper achieved **1,000,000 steps with ZERO errors** using gpt-4.1-mini!
## Features
- 🔍 **Web Search**: Optional DuckDuckGo search (free, no API key)
- 📁 **File Upload**: PDF, DOCX, TXT, images, and more
- 🗳️ **Voting**: Configurable K parameter for reliability vs speed
- 🚩 **Red-Flagging**: Automatic detection and discarding of suspicious outputs
- 🔌 **Multiple LLMs**: OpenAI, Anthropic, Groq, Together, OpenRouter
## Usage
1. **Setup**: Enter your API key and configure K (votes needed)
2. **Query**: Ask questions with optional web search or file context
3. **Results**: See the winning answer with vote distribution
## Supported LLM Providers
| Provider | Models |
|----------|--------|
| OpenAI | gpt-4o-mini, gpt-4o, etc. |
| Anthropic | claude-sonnet, claude-opus |
| Groq | llama-3.3-70b (fast!) |
| Together | Llama, Mistral, etc. |
| OpenRouter | 100+ models |
## Local Development
```bash
git clone https://huggingface.co/spaces/YOUR_USERNAME/maker-agent
cd maker-agent
pip install -r requirements.txt
python app.py
```
## Paper Citation
```bibtex
@article{meyerson2025maker,
title={Solving a Million-Step LLM Task with Zero Errors},
author={Meyerson, Elliot and others},
journal={arXiv preprint arXiv:2511.09030},
year={2025}
}
```
## License
MIT
|