Arxiv Paper Coder
Description
Multi-agent system that turns a natural-language brief into a working codebase — planner, coder, and reviewer coordinated by an orchestrator with dependency tracking. Ships an arXiv daily-papers site demo.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
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README
arxiv-paper-coder
A multi-agent system that turns a natural-language brief into a working codebase. A planner decomposes the task, a coder writes the files, and a reviewer checks the result — all coordinated by an orchestrator that tracks dependencies, memory, and artifacts. It ships with an arXiv pipeline that builds a daily CS-papers website end to end.
[](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT)
How it works
Three agents and an orchestrator run a Reason–Act–Reflect loop:
- Planner — breaks the brief into tasks and builds a dependency graph (networkx DAG).
- Coder — implements each task, calling tools for file I/O, code execution, web/arXiv access, and templating.
- Reviewer — checks quality, flags problems, and feeds corrections back into the loop.
- Orchestrator — schedules tasks, resolves dependencies, and manages shared memory and generated artifacts.
Orchestrator (core engine)
Task scheduler · Memory · Dependency resolver
│
┌──────────────────────┼──────────────────────┐
▼ ▼ ▼
Planning agent ──▶ Coding agent ──▶ Review agent
task decomp, code gen, quality checks,
chain-of-thought, tool calling, testing,
dependency DAG artifact mgmt feedback
└──────────────────────┼──────────────────────┘
▼
Tool layer: file I/O · code execution
web search · arXiv API · Jinja2 templates · git
The design borrows from a few familiar patterns: ReAct (Yao et al., 2022), chain-of-thought prompting (Wei et al., 2022), and self-reflection.
Install
git clone https:
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**Generated:** 2026-04-11