Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

End-to-end AI-powered academic paper writing system — from idea generation and literature search to experiment execution, result backfill, and LaTeX paper compilation. Supports multi-LLM routing, SSH remote training, incremental sync, and anti-AI-detection writing style.

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

Code for Paper Abstract Writing through Editing Mechanism

Create scientific papers on the fly: SciGen brought to the browser.

An autonomous LLM research agent that executes the full academic paper pipeline — from literature search to compiled PDF

Turn your coding agent into a one-command autonomous research paper generator. Wraps AutoResearchClaw's 23-stage pipeline with setup automation, interactive config, error diagnosis, and self-healing hooks.

Enable autonomous AI agents to optimize LLM training code through iterative experiments and improve models without manual intervention overnight

AI-Scientist pipeline + requirements engineering — automated paper generation, LLM review, Gherkin test cases

Build autonomous experiment loops that edit files, run tests, and keep only improvements for any project type

Hermes-native autonomous research paper writer — ideation, LaTeX writeup, peer review, anti-hallucination numerical audit

Automate academic paper writing with integrated experiment tools and LLM-driven multi-phase workflows for iteration, validation, and citation management.

Automate Claude Code optimization using constraints, metrics, and autonomous iterations to drive continuous improvement in research workflows.

Generate OpenClaw ds source Skills from a URL with automated web analysis and standard ds source output

Automate code improvement by detecting issues, fixing bugs, and simplifying code on separate branches before merging to main.

Generate research papers autonomously by chatting with OpenClaw, using Python 3.11+, with a self-evolving framework and extensive test coverage.