---
title: "xianyu-auto-reply-fix vs AutoAgent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/gudong2003-xianyu-auto-reply-fix-vs-hkuds-autoagent"
tools: ["gudong2003-xianyu-auto-reply-fix", "hkuds-autoagent"]
---

# xianyu-auto-reply-fix vs AutoAgent

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick xianyu-auto-reply-fix if optimized for Xianyu marketplace customer service needs with features like multi-account management, AI-driven auto-replies, shipping confirmation automation, cross-channel notifications; pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments.

[xianyu-auto-reply-fix](https://github.com/GuDong2003/xianyu-auto-reply-fix) reports 2.6k GitHub stars, 541 forks, and 32 open issues, last pushed Aug 22, 2026. [AutoAgent](https://arxiv.org/abs/2502.05957) has 9.7k stars, 1.4k forks, and 68 open issues, last pushed Oct 16, 2025. Figures are from public GitHub metadata via [xianyu-auto-reply-fix's repository](https://github.com/GuDong2003/xianyu-auto-reply-fix) and [AutoAgent's repository](https://github.com/HKUDS/AutoAgent).

| | [xianyu-auto-reply-fix](/tools/gudong2003-xianyu-auto-reply-fix.md) | [AutoAgent](/tools/hkuds-autoagent.md) |
| --- | --- | --- |
| Tagline | Automated customer service system for Xianyu with AI-driven auto-reply and multi-account management | Fully-Automated and Zero-Code LLM Agent Framework |
| Stars | 2,644 | 9,738 |
| Forks | 541 | 1,357 |
| Open issues | 32 | 68 |
| Language | Python | Python |
| Adopt for | Optimized for Xianyu marketplace customer service needs with features like multi-account management, AI-driven auto-replies, shipping confirmation automation, cross-channel notifications. | AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | MIT |
| Categories | Evaluation & Observability, Inference & Serving | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [xianyu-auto-reply-fix](/tools/gudong2003-xianyu-auto-reply-fix.md) | [AutoAgent](/tools/hkuds-autoagent.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Slowing (36%) |
| Days since push | 28d | 307d |
| Open issues (now) | 32 | 68 |
| Stars delta | +490 (30d) | +242 (30d) |
| Open issues delta | +3 (30d) | -1 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/gudong2003-xianyu-auto-reply-fix/trust.md) | [trust report](/tools/hkuds-autoagent/trust.md) |

## Decision facts: xianyu-auto-reply-fix

- **Adopt for:** Optimized for Xianyu marketplace customer service needs with features like multi-account management, AI-driven auto-replies, shipping confirmation automation, cross-channel notifications.

## Decision facts: AutoAgent

- **Adopt for:** AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments

## Choose when

### Choose xianyu-auto-reply-fix if…

- License: xianyu-auto-reply-fix is AGPL-3.0, AutoAgent is MIT.
- Tags unique to xianyu-auto-reply-fix: ai, auto-reply, automation, playwright.
- Also covers Evaluation & Observability, Inference & Serving.
- xianyu-auto-reply-fix ships Docker support for self-hosted deployment.
- When targeting services specifically for the Chinese online marketplace Xianyu

### Choose AutoAgent if…

- License: AutoAgent is MIT, xianyu-auto-reply-fix is AGPL-3.0.
- Tags unique to AutoAgent: agent, llms.
- Also covers AI Agents.
- Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.

## When NOT to use xianyu-auto-reply-fix

- Not suitable for marketplaces outside of China due to its focus on Xianyu-specific functionalities
- Avoid for applications necessitating extensive customization beyond the provided auto-reply options

## When NOT to use AutoAgent

- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
- Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.

## Common questions

### What is the difference between xianyu-auto-reply-fix and AutoAgent?

xianyu-auto-reply-fix: Automated customer service system for Xianyu with AI-driven auto-reply and multi-account management. AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. See the comparison table for live GitHub stats and shared categories.

### When should I choose xianyu-auto-reply-fix over AutoAgent?

Choose xianyu-auto-reply-fix over AutoAgent when License: xianyu-auto-reply-fix is AGPL-3.0, AutoAgent is MIT; Tags unique to xianyu-auto-reply-fix: ai, auto-reply, automation, playwright; Also covers Evaluation & Observability, Inference & Serving; xianyu-auto-reply-fix ships Docker support for self-hosted deployment; When targeting services specifically for the Chinese online marketplace Xianyu.

### When should I choose AutoAgent over xianyu-auto-reply-fix?

Choose AutoAgent over xianyu-auto-reply-fix when License: AutoAgent is MIT, xianyu-auto-reply-fix is AGPL-3.0; Tags unique to AutoAgent: agent, llms; Also covers AI Agents; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.

### When should I avoid xianyu-auto-reply-fix?

Not suitable for marketplaces outside of China due to its focus on Xianyu-specific functionalities Avoid for applications necessitating extensive customization beyond the provided auto-reply options

### When should I avoid AutoAgent?

Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.

### Is xianyu-auto-reply-fix or AutoAgent more popular on GitHub?

AutoAgent has more GitHub stars (9,738 vs 2,644). Stars measure visibility, not whether either tool fits your constraints.

### Are xianyu-auto-reply-fix and AutoAgent open source?

Yes - both are open-source projects on GitHub (xianyu-auto-reply-fix: AGPL-3.0, AutoAgent: MIT).

### Where can I find alternatives to xianyu-auto-reply-fix or AutoAgent?

GraphCanon lists graph-backed alternatives at [xianyu-auto-reply-fix alternatives](/tools/gudong2003-xianyu-auto-reply-fix/alternatives) and [AutoAgent alternatives](/tools/hkuds-autoagent/alternatives) ([xianyu-auto-reply-fix markdown twin](/tools/gudong2003-xianyu-auto-reply-fix/alternatives.md), [AutoAgent markdown twin](/tools/hkuds-autoagent/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/gudong2003-xianyu-auto-reply-fix-vs-hkuds-autoagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, xianyu-auto-reply-fix or AutoAgent?

xianyu-auto-reply-fix: Active. AutoAgent: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for xianyu-auto-reply-fix and AutoAgent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [xianyu-auto-reply-fix trust report](/tools/gudong2003-xianyu-auto-reply-fix/trust); [AutoAgent trust report](/tools/hkuds-autoagent/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=gudong2003-xianyu-auto-reply-fix`](/api/graphcanon/graph?tool=gudong2003-xianyu-auto-reply-fix)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
