---
title: "n8n-ai-automations vs Agent-Reach"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lucaswalter-n8n-ai-automations-vs-panniantong-agent-reach"
tools: ["lucaswalter-n8n-ai-automations", "panniantong-agent-reach"]
---

# n8n-ai-automations vs Agent-Reach

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick n8n-ai-automations when tags unique to n8n-ai-automations: agentic-ai, agentic-workflows, agents, ai; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili.

[n8n-ai-automations](https://www.skool.com/ai-automation-mastery-group) reports 1.6k GitHub stars, 450 forks, and 0 open issues, last pushed Mar 2, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [n8n-ai-automations's repository](https://github.com/lucaswalter/n8n-ai-automations) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach).

| | [n8n-ai-automations](/tools/lucaswalter-n8n-ai-automations.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Tagline | Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community. | AI Agent for Automated Web and Social Media Data Extraction |
| Stars | 1,557 | 54,715 |
| Forks | 450 | 4,509 |
| Open issues | 0 | 144 |
| Language | - | Python |
| Adopt for | - | Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | AI Agents, Vector Databases | AI Agents, Data & Retrieval |

## Trust and health

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

| | [n8n-ai-automations](/tools/lucaswalter-n8n-ai-automations.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 134d | 0d |
| Open issues (now) | 0 | 144 |
| Full report | [trust report](/tools/lucaswalter-n8n-ai-automations/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) |

## Decision facts: Agent-Reach

- **Adopt for:** Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

## Choose when

### Choose n8n-ai-automations if…

- Tags unique to n8n-ai-automations: agentic-ai, agentic-workflows, agents, ai.
- Also covers Vector Databases.
- Leaner open-issue backlog (0).

### Choose Agent-Reach if…

- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili.
- Also covers Data & Retrieval.
- When needing to bypass costly API fees for extensive social media platform data extraction

## When NOT to use n8n-ai-automations

- Last GitHub push was 134 days ago (slowing maintenance, Mar 2, 2026). Validate activity before betting a new project on n8n-ai-automations.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## When NOT to use Agent-Reach

- If strict compliance with website scraping policies is critical due to its use of scraping techniques
- When direct interaction through APIs for precision and reliability is preferred over scraping

## Common questions

### What is the difference between n8n-ai-automations and Agent-Reach?

n8n-ai-automations: Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories.

### When should I choose n8n-ai-automations over Agent-Reach?

Choose n8n-ai-automations over Agent-Reach when Tags unique to n8n-ai-automations: agentic-ai, agentic-workflows, agents, ai; Also covers Vector Databases; Leaner open-issue backlog (0).

### When should I choose Agent-Reach over n8n-ai-automations?

Choose Agent-Reach over n8n-ai-automations when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction.

### When should I avoid n8n-ai-automations?

Last GitHub push was 134 days ago (slowing maintenance, Mar 2, 2026). Validate activity before betting a new project on n8n-ai-automations. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### When should I avoid Agent-Reach?

If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping

### Is n8n-ai-automations or Agent-Reach more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 1,557). Stars measure visibility, not whether either tool fits your constraints.

### Are n8n-ai-automations and Agent-Reach open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to n8n-ai-automations or Agent-Reach?

GraphCanon lists graph-backed alternatives at [n8n-ai-automations alternatives](/tools/lucaswalter-n8n-ai-automations/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([n8n-ai-automations markdown twin](/tools/lucaswalter-n8n-ai-automations/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/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/lucaswalter-n8n-ai-automations-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, n8n-ai-automations or Agent-Reach?

n8n-ai-automations: Slowing. Agent-Reach: Very active. 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 n8n-ai-automations and Agent-Reach?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [n8n-ai-automations trust report](/tools/lucaswalter-n8n-ai-automations/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lucaswalter-n8n-ai-automations`](/api/graphcanon/graph?tool=lucaswalter-n8n-ai-automations)
- 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/_
