AI-Researcher is an LLM research automation framework and scientific workflow orchestrator designed to automate the end-to-end discovery process. It employs autonomous AI research agents to identify research gaps, formulate hypotheses, and execute scientific discovery workflows independently. The system integrates an automated literature review tool for gathering and analyzing academic papers and code repositories with an AI-driven manuscript generator that synthesizes research motivations and experimental results into full-length academic papers. The framework covers a modular research pipe
pi-autoresearch is an autonomous research extension that automates iterative code-editing and performance-measurement loops driven by large language models. It functions as an experiment lifecycle automator, executing repetitive cycles of changes and benchmarks until a specific goal is reached. The system distinguishes itself by organizing successful experimental trials into independent git branches for review and merging. It includes a real-time research dashboard for monitoring metrics and status, and utilizes median absolute deviation to calculate confidence scores that filter benchmark no
Autonomous experiment loop skill for Claude Code — port of pi-autoresearch
This project is a comprehensive educational resource and technical guide focused on the development, optimization, and application of large language models. It provides a structured curriculum for mastering prompt engineering, ranging from foundational principles of instruction design to advanced techniques for improving model reasoning, accuracy, and reliability. The guide distinguishes itself by offering deep technical insights into agentic workflows and autonomous system design. It covers the implementation of multi-step reasoning chains, tool integration through function calling, and stat
The main features of gepa-ai/gepa are: Autonomous Research Agents, Prompt Engineering Frameworks.
Open-source alternatives to gepa-ai/gepa include: hkuds/ai-researcher — AI-Researcher is an LLM research automation framework and scientific workflow orchestrator designed to automate the… davebcn87/pi-autoresearch — pi-autoresearch is an autonomous research extension that automates iterative code-editing and performance-measurement… drivelineresearch/autoresearch-claude-code — Autonomous experiment loop skill for Claude Code — port of pi-autoresearch. entrpi/autoresearch-everywhere — Optimized cross-platform expansion of autoresearch. greyhaven-ai/autocontext — a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any… dair-ai/prompt-engineering-guide — This project is a comprehensive educational resource and technical guide focused on the development, optimization, and…