--- title: "Agent-Reach vs donutbrowser" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-zhom-donutbrowser" tools: ["panniantong-agent-reach", "zhom-donutbrowser"] --- # Agent-Reach vs donutbrowser *GraphCanon updated Jul 15, 2026* ## Verdict Pick Agent-Reach when agent-Reach is primarily Python; donutbrowser is Rust; pick donutbrowser when donutbrowser is primarily Rust; Agent-Reach is Python. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [donutbrowser](https://donutbrowser.com) has 3.3k stars, 354 forks, and 8 open issues, last pushed Jul 12, 2026. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [donutbrowser's repository](https://github.com/zhom/donutbrowser). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [donutbrowser](/tools/zhom-donutbrowser.md) | | --- | --- | --- | | Tagline | AI Agent for Automated Web and Social Media Data Extraction | Simple Yet Powerful Anti-Detect Browser 🍩 | | Stars | 54,715 | 3,320 | | Forks | 4,509 | 354 | | Open issues | 144 | 8 | | Language | Python | Rust | | 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 | AGPL-3.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [donutbrowser](/tools/zhom-donutbrowser.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 144 | 8 | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/zhom-donutbrowser/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 Agent-Reach if… - Agent-Reach is primarily Python; donutbrowser is Rust. - License: Agent-Reach is MIT, donutbrowser is AGPL-3.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers Data & Retrieval. - When needing to bypass costly API fees for extensive social media platform data extraction ### Choose donutbrowser if… - donutbrowser is primarily Rust; Agent-Reach is Python. - License: donutbrowser is AGPL-3.0, Agent-Reach is MIT. - Tags unique to donutbrowser: anti-detect, anti-detect-browser, anti-detection, browser. - Also covers Computer Vision. ## 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 ## When NOT to use donutbrowser - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between Agent-Reach and donutbrowser? Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. donutbrowser: Simple Yet Powerful Anti-Detect Browser 🍩. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over donutbrowser? Choose Agent-Reach over donutbrowser when Agent-Reach is primarily Python; donutbrowser is Rust; License: Agent-Reach is MIT, donutbrowser is AGPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction. ### When should I choose donutbrowser over Agent-Reach? Choose donutbrowser over Agent-Reach when donutbrowser is primarily Rust; Agent-Reach is Python; License: donutbrowser is AGPL-3.0, Agent-Reach is MIT; Tags unique to donutbrowser: anti-detect, anti-detect-browser, anti-detection, browser; Also covers Computer Vision. ### 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 ### When should I avoid donutbrowser? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is Agent-Reach or donutbrowser more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 3,320). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and donutbrowser open source? Yes - both are open-source projects on GitHub (Agent-Reach: MIT, donutbrowser: AGPL-3.0). ### Where can I find alternatives to Agent-Reach or donutbrowser? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [donutbrowser alternatives](/tools/zhom-donutbrowser/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [donutbrowser markdown twin](/tools/zhom-donutbrowser/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/panniantong-agent-reach-vs-zhom-donutbrowser.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or donutbrowser? Agent-Reach: Very active. donutbrowser: 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 Agent-Reach and donutbrowser? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [donutbrowser trust report](/tools/zhom-donutbrowser/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=panniantong-agent-reach`](/api/graphcanon/graph?tool=panniantong-agent-reach) - 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/_