--- title: "n8n vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/n8n-io-n8n-vs-panniantong-agent-reach" tools: ["n8n-io-n8n", "panniantong-agent-reach"] --- # n8n vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick n8n when n8n is primarily TypeScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; n8n is TypeScript. [n8n](https://n8n.io) reports 196k GitHub stars, 59k forks, and 1.4k open issues, last pushed Jul 11, 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's repository](https://github.com/n8n-io/n8n) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [n8n](/tools/n8n-io-n8n.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 196,027 | 54,715 | | Forks | 59,245 | 4,509 | | Open issues | 1,448 | 144 | | Language | TypeScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools | LLM Frameworks, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [n8n](/tools/n8n-io-n8n.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Open issues (now) | 1.4k | 144 | | Owner type | Organization | User | | Full report | [trust report](/tools/n8n-io-n8n/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose n8n if… - n8n is primarily TypeScript; Agent-Reach is Python. - License: n8n is Other, Agent-Reach is MIT. - Tags unique to n8n: development, ai, data-flow, apis. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; n8n is TypeScript. - License: Agent-Reach is MIT, n8n is Other. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers LLM Frameworks, AI Agents. ## When NOT to use n8n - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Agent-Reach - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between n8n and Agent-Reach? n8n: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories. ### When should I choose n8n over Agent-Reach? Choose n8n over Agent-Reach when n8n is primarily TypeScript; Agent-Reach is Python; License: n8n is Other, Agent-Reach is MIT; Tags unique to n8n: development, ai, data-flow, apis. ### When should I choose Agent-Reach over n8n? Choose Agent-Reach over n8n when Agent-Reach is primarily Python; n8n is TypeScript; License: Agent-Reach is MIT, n8n is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents. ### When should I avoid n8n? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Agent-Reach? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is n8n or Agent-Reach more popular on GitHub? n8n has more GitHub stars (196,027 vs 54,715). Stars measure visibility, not whether either tool fits your constraints. ### Are n8n and Agent-Reach open source? Yes - both are open-source projects on GitHub (n8n: Other, Agent-Reach: MIT). ### Where can I find alternatives to n8n or Agent-Reach? GraphCanon lists graph-backed alternatives at [n8n alternatives](/tools/n8n-io-n8n/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([n8n markdown twin](/tools/n8n-io-n8n/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/n8n-io-n8n-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 or Agent-Reach? n8n: Very active. 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 and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [n8n trust report](/tools/n8n-io-n8n/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=n8n-io-n8n`](/api/graphcanon/graph?tool=n8n-io-n8n) - 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/_