--- title: "burr vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-burr-vs-panniantong-agent-reach" tools: ["apache-burr", "panniantong-agent-reach"] --- # burr vs Agent-Reach *GraphCanon updated Aug 20, 2026* ## Verdict Pick burr if burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management; pick Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. [burr](https://burr.apache.org/) reports 2.5k GitHub stars, 186 forks, and 105 open issues, last pushed Aug 17, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 61k stars, 4.9k forks, and 168 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [burr's repository](https://github.com/apache/burr) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [burr](/tools/apache-burr.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Build applications that make decisions like chatbots, agents; monitor and manage state. | AI Agent for Automated Web and Social Media Data Extraction | | Stars | 2,521 | 60,828 | | Forks | 186 | 4,921 | | Open issues | 105 | 168 | | Language | Python | Python | | Adopt for | Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management. | 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 | Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms. | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [burr](/tools/apache-burr.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 105 | 168 | | Stars delta | +35 (30d) | Unknown | | Open issues delta | -2 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/apache-burr/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Shared compatibility - **Python**: [burr](/tools/apache-burr.md) - Python runtime; [Agent-Reach](/tools/panniantong-agent-reach.md) - Python runtime ## Decision facts: burr - **Adopt for:** Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management. - **License detail:** Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms. ## 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 burr if… - License: burr is Apache-2.0, Agent-Reach is MIT. - Tags unique to burr: ai, burr, chatbot-framework, dags. - Also covers Evaluation & Observability. - You prefer Python for developing AI-driven applications that require state persistence across interactions. ### Choose Agent-Reach if… - License: Agent-Reach is MIT, burr is Apache-2.0. - 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 NOT to use burr - If you need a lightweight solution without the overhead of server setup and maintenance for monitoring. - When your application does not interact heavily with user states or require extensive tracing capabilities. ## 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 burr and Agent-Reach? burr: Build applications that make decisions like chatbots, agents; monitor and manage state.. 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 burr over Agent-Reach? Choose burr over Agent-Reach when License: burr is Apache-2.0, Agent-Reach is MIT; Tags unique to burr: ai, burr, chatbot-framework, dags; Also covers Evaluation & Observability; You prefer Python for developing AI-driven applications that require state persistence across interactions. ### When should I choose Agent-Reach over burr? Choose Agent-Reach over burr when License: Agent-Reach is MIT, burr is Apache-2.0; 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 avoid burr? If you need a lightweight solution without the overhead of server setup and maintenance for monitoring. When your application does not interact heavily with user states or require extensive tracing capabilities. ### 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 burr or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (60,828 vs 2,521). Stars measure visibility, not whether either tool fits your constraints. ### Are burr and Agent-Reach open source? Yes - both are open-source projects on GitHub (burr: Apache-2.0, Agent-Reach: MIT). ### Where can I find alternatives to burr or Agent-Reach? GraphCanon lists graph-backed alternatives at [burr alternatives](/tools/apache-burr/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([burr markdown twin](/tools/apache-burr/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/apache-burr-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, burr or Agent-Reach? burr: 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 burr and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [burr trust report](/tools/apache-burr/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-burr`](/api/graphcanon/graph?tool=apache-burr) - 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/_