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EurekaClaw

Open-source, local-first AI research agent that captures your 'Eureka' moments by autonomously scraping literature, generating theorems, writing LaTeX papers, and running experiments from a simple chat or terminal command.

Decision information

Manual verification pending
Ecosystem category
Claw Agents
Agent class
Research
Lineage
Independent
Runs
Local
Autonomy
Autonomous
Content type
Product
Pricing
Open Source
Open source
Yes
License
Not recorded
Maintenance
Unknown
Install methods
Not recorded
Platforms
Not recorded

Documented Claw signals

View inclusion standard
Tool useMulti-step goalsAutonomous execution

Security signals (informational, not a security certification)

Source available

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.

Tags

airesearch-agentmulti-agentlocal-firstarxivlatexopen-sourcepythontheorem-provingautomation