luxas

Autonomous research agent that reads papers, runs experiments and compiles a LaTeX report with no human in the loop

Agent by Muuuun

IndexedMIT★ 1,169

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Setup steps are in the repository. Website · Repository

About

Luxas is a multi-agent system that takes a research topic from a file, searches OpenAlex, arXiv and CrossRef, reads the papers, and designs and runs experiments. It produces figures from the raw results and writes a LaTeX report that goes through automated content, figure and layout review before a PDF is compiled. It is built on pi-mono and uses Claude by default, with OpenAI o3 for math and DeepSeek or Kimi selectable through an environment variable.

Use cases: research, deep-research, writing-editing

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Fact sheet

Jobs: researchREADME
Autonomy: Autonomous: runs tasks end to end and reports backREADME
Where you use it: Terminal, WebREADME
Hosting: Hosted or self-hostedREADME
Models: anthropic, openai, deepseek, kimiREADME
Open source: YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Built on

Frameworks named in its dependency files.

0.867score
Pi Agent Core
Earendil
Minimal TypeScript agent harness with an agent runtime, multi-provider LLM API, terminal UI and coding agent CLI that users extend themselves.
HarnessAFreshness: A★ 117.6K↓ 5.1M/wk

Signals

Stars: 1,169
Forks: 18
Open issues: 1
Last commit: Oct 12, 2026 (18 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/Muuuun/luxas
Website: luxas.im
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

luxas. Agent Mart. https://agentmart.dev/agents/luxas (last updated 2026-10-24)