--- title: "nginx-ui vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xjacky-nginx-ui-vs-panniantong-agent-reach" tools: ["0xjacky-nginx-ui", "panniantong-agent-reach"] --- # nginx-ui vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick nginx-ui when nginx-ui is primarily Go; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; nginx-ui is Go. [nginx-ui](https://nginxui.com) reports 11k GitHub stars, 843 forks, and 84 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 [nginx-ui's repository](https://github.com/0xJacky/nginx-ui) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [nginx-ui](/tools/0xjacky-nginx-ui.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Yet another WebUI for Nginx | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 11,287 | 54,715 | | Forks | 843 | 4,509 | | Open issues | 84 | 144 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | Developer Tools | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [nginx-ui](/tools/0xjacky-nginx-ui.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Open issues (now) | 84 | 144 | | Full report | [trust report](/tools/0xjacky-nginx-ui/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose nginx-ui if… - nginx-ui is primarily Go; Agent-Reach is Python. - License: nginx-ui is AGPL-3.0, Agent-Reach is MIT. - Tags unique to nginx-ui: code-completion, copilot, cron, docker. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; nginx-ui is Go. - License: Agent-Reach is MIT, nginx-ui is AGPL-3.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents, LLM Frameworks. ## When NOT to use nginx-ui - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Agent-Reach - 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between nginx-ui and Agent-Reach? nginx-ui: Yet another WebUI for Nginx. 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 nginx-ui over Agent-Reach? Choose nginx-ui over Agent-Reach when nginx-ui is primarily Go; Agent-Reach is Python; License: nginx-ui is AGPL-3.0, Agent-Reach is MIT; Tags unique to nginx-ui: code-completion, copilot, cron, docker. ### When should I choose Agent-Reach over nginx-ui? Choose Agent-Reach over nginx-ui when Agent-Reach is primarily Python; nginx-ui is Go; License: Agent-Reach is MIT, nginx-ui is AGPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks. ### When should I avoid nginx-ui? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Agent-Reach? 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is nginx-ui or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 11,287). Stars measure visibility, not whether either tool fits your constraints. ### Are nginx-ui and Agent-Reach open source? Yes - both are open-source projects on GitHub (nginx-ui: AGPL-3.0, Agent-Reach: MIT). ### Where can I find alternatives to nginx-ui or Agent-Reach? GraphCanon lists graph-backed alternatives at [nginx-ui alternatives](/tools/0xjacky-nginx-ui/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([nginx-ui markdown twin](/tools/0xjacky-nginx-ui/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/0xjacky-nginx-ui-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, nginx-ui or Agent-Reach? nginx-ui: 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 nginx-ui and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [nginx-ui trust report](/tools/0xjacky-nginx-ui/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=0xjacky-nginx-ui`](/api/graphcanon/graph?tool=0xjacky-nginx-ui) - 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/_