Overview

EurekaClaw is an open-source, local-first multi-agent AI research assistant designed to capture fleeting "Eureka" moments and transform them into concrete research outputs. From a simple natural language question or idea, it autonomously handles the full research pipeline: literature review via arXiv scraping, hypothesis generation, theorem formulation and proving, LaTeX paper drafting, and even experiment execution.

Built with a focus on privacy and control, EurekaClaw runs entirely on your local machine without relying on external cloud services for core operations.

Key Features

Autonomous Research Pipeline: Starts from a research question and progresses to a full paper draft.
arXiv Integration: Real-time scraping and analysis of recent papers in relevant fields (e.g., cs.LG, math).
Theorem Generation & Proving: AI agents draft and prove mathematical theorems with supporting reasoning.
LaTeX Output: Generates publication-ready LaTeX documents and saves results locally.
Multi-Agent Architecture: Specialized agents for crawling, hypothesis, proving, writing, and experimentation.
CLI & Chat Interface: Use via terminal commands (eurekaclaw prove ...) or interactive chat.
Local-First Design: All processing happens on-device; supports local LLMs.
Open Source: Available under Apache 2.0 license on GitHub.

Installation

Quick Install (macOS/Linux)

curl -fsSL https://eurekaclaw.ai/install.sh | bash
eurekaclaw onboard

Windows (PowerShell)

powershell -c "irm https://eurekaclaw.ai/install_win.ps1 | iex"

From Source

git clone https://github.com/EurekaClaw/EurekaClaw
cd EurekaClaw
make install

Requirements: Python ≥ 3.11, Node.js ≥ 20.

Usage Examples

# Generate and prove a theorem from a research idea
eurekaclaw prove "Find recent papers on sparse attention + prove efficiency bound"

# Start interactive research session
eurekaclaw chat

The tool crawls literature, drafts theorems, completes proofs, and saves a LaTeX paper to ./results/.

Use Cases

Academic Researchers: Accelerate literature reviews and initial paper drafting.
Mathematicians & Theorists: Rapid theorem exploration and proof assistance.
AI/ML Engineers: Hypothesis testing and experiment automation.
Students: Learning tool for understanding research processes.
Independent Innovators: Capturing and developing spontaneous ideas into structured outputs.

Architecture

EurekaClaw employs a multi-agent system where specialized agents collaborate:

Literature Crawler
Hypothesis Generator
Theorem Prover
Paper Writer (LaTeX specialist)
Experiment Runner

It learns from each session to improve future performance.

Repository & Resources

Official Website: https://eurekaclaw.ai/
GitHub: https://github.com/EurekaClaw/EurekaClaw
Documentation: https://eurekaclaw.github.io/

EurekaClaw is ideal for anyone who wants to turn sparks of insight into rigorous, documented research without the manual overhead of traditional academic workflows.