Fully autonomous research from idea to paper. Chat an Idea. Get a Paper. Fully Autonomous. 🦞

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

Local AI agents doing physics and research autonomously🐙predates Karpathy's AutoResearch

FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth

Autonomous AI-powered academic research system.

Your dedicated research inspiration engine. An agent framework for generating high-quality, structured research ideas.

Scientist for Autonomous Research

Advanced AI-powered research tool with human-like reasoning capabilities. Implements Tree of Thoughts and ReAct methodologies for deep, multi-step research.

Open-source, multi-provider research automation with persistent experts, eval-based routing, and cost guardrails.

Local-first decentralized AI agent swarm for autonomous research, persistent memory, and peer-to-peer knowledge sharing.

Agent C: cloned from the v1.0 DEV baseline. Future specialization track for synthesis, hypothesis generation, tool orchestration, and long-form reasoning workflows in the cluster.

Research thread manager for AI agents. Track topics, accumulate findings, produce digests. Zero dependencies.

Autonomous AI scientist for consciousness research — Self-directed hypothesis generation. ORION ecosystem.

Turn any company URL into a strategic intelligence brief. Adaptive scraping + AI-powered research and synthesis.

Autonomous research with branching — spawns Claude Code sessions to explore topics, queues proposals for review

PBAR — Population-Based Annealed Research. Autonomous AI-driven experiment loop for ML research on Apple Silicon (MLX).

Autonomous Research Framework for Mathematical Physics - An AI-powered system that continuously develops mathematical frameworks with elegance and inevitability

Benchmark for statistically valid AI scientist systems, using audit-closed protocols, transparency logs, and sequential inference to prevent false discoveries in autonomous research agents.

Autonomous Research Studio powered by a multi-agent swarm, automating deep research with omni search, HITL planning, and publication ready outputs.

This project utilizes a series of algorithms, adversarial agents, and simulation tools to study and generate new multicellular organisms; a user interface allows human guidance to tailor desired results.