Test AI models autonomously
SIA is a self-improving AI framework developed to autonomously improve the performance of AI models and agents on specific benchmark tasks. This Python-based system enables artificial intelligence systems to optimize their processes by analyzing their own outputs.
What you get
- It autonomously improves the task performance of artificial intelligence models.
- Meta provides cyclic refinement between target and feedback agents.
- It offers high accuracy and processing speed efficiency in benchmark tasks.
Installation
python3 -m venv .venv && source .venv/bin/activate
pip install 'sia-agent[claude]'
export ANTHROPIC_API_KEY="..."python3 -m venv .venv && source .venv/bin/activate
pip install 'sia-agent[openhands]'
# Export the key(s) for the provider(s) you'll use:
export ANTHROPIC_API_KEY="..." # for anthropic/* models
export GEMINI_API_KEY="..." # for gemini/* models (or GOOGLE_API_KEY)
export OPENAI_API_KEY="..." # for openai/* modelsRunning it
sia run --task gpqa --max_gen 5 --run_id 1sia webIf you don't write code
I want to improve the performance of an AI agent using the SIA framework. After completing the installation, which command should I use to start the self-improvement cycle by selecting one of the available tasks (e.g. gpqa) and how should I interpret the outputs at the end of the process (target_agent.py, agent_execution.json, improvement.md)? Also, how can I include my own custom task directory in the system?
Repository: https://github.com/hexo-ai/sia. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-12: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.