--- title: "edict vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cft0808-edict-vs-panniantong-agent-reach" tools: ["cft0808-edict", "panniantong-agent-reach"] --- # edict vs Agent-Reach *GraphCanon updated Aug 20, 2026* ## Verdict Pick edict if edict is a multi-agent orchestration system featuring nine specialized AI agents with real-time dashboards, customizable configurations, and full audit trails. It leverages Docker for easy setup and focuses on seamless,古; 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. [edict](https://openclaw.ai) reports 16k GitHub stars, 1.7k forks, and 31 open issues, last pushed Aug 3, 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 [edict's repository](https://github.com/cft0808/edict) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [edict](/tools/cft0808-edict.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Three Departments Six Ministries System · OpenClaw Multi-Agent Orchestration System: 9 specialized AI agents include real-time dashboard, model configuration, and complete audit trails | AI Agent for Automated Web and Social Media Data Extraction | | Stars | 16,385 | 60,828 | | Forks | 1,718 | 4,921 | | Open issues | 31 | 168 | | Language | Python | Python | | Adopt for | Edict is a multi-agent orchestration system featuring nine specialized AI agents with real-time dashboards, customizable configurations, and full audit trails. It leverages Docker for easy setup and focuses on seamless,古 | 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 License offers permissive use for both commercial and private projects with conditions to preserve the copyright notice. | MIT | | Categories | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edict](/tools/cft0808-edict.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 16d | 0d | | Open issues (now) | 31 | 168 | | Stars delta | +132 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/cft0808-edict/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Shared compatibility - **Python**: [edict](/tools/cft0808-edict.md) - Python runtime; [Agent-Reach](/tools/panniantong-agent-reach.md) - Python runtime ## Decision facts: edict - **Pricing:** freemium - Free under MIT license but additional support or services might incur costs - **Requirements:** Requires Docker - **Adopt for:** Edict is a multi-agent orchestration system featuring nine specialized AI agents with real-time dashboards, customizable configurations, and full audit trails. It leverages Docker for easy setup and focuses on seamless,古 - **License detail:** MIT License offers permissive use for both commercial and private projects with conditions to preserve the copyright notice. ## 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 edict if… - Pricing: Free under MIT license but additional support or services might incur costs. - Requirements: Requires Docker. - Tags unique to edict: ai-agents, ai-orchestration, autonomous-agents, dashboard. - edict ships Docker support for self-hosted deployment. - When you need a set of 9 specialized AI agents designed for specific tasks within an orchestrated environment ### Choose Agent-Reach if… - 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 edict - If you are working within complex enterprise environments with proprietary security requirements that Edict's MIT license might conflict with - When your use case requires more agents or flexibility beyond what the pre-defined nine agents in Edict offer without significant manual integration efforts - In scenarios where Docker-based deployment is not suitable for your infrastructure, such as platforms where cross-architecture errors using Docker are frequent ## 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 edict and Agent-Reach? edict: Three Departments Six Ministries System · OpenClaw Multi-Agent Orchestration System: 9 specialized AI agents include real-time dashboard, model configuration, and complete audit trails. 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 edict over Agent-Reach? Choose edict over Agent-Reach when Pricing: Free under MIT license but additional support or services might incur costs; Requirements: Requires Docker; Tags unique to edict: ai-agents, ai-orchestration, autonomous-agents, dashboard; edict ships Docker support for self-hosted deployment; When you need a set of 9 specialized AI agents designed for specific tasks within an orchestrated environment. ### When should I choose Agent-Reach over edict? Choose Agent-Reach over edict when 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 edict? If you are working within complex enterprise environments with proprietary security requirements that Edict's MIT license might conflict with When your use case requires more agents or flexibility beyond what the pre-defined nine agents in Edict offer without significant manual integration efforts In scenarios where Docker-based deployment is not suitable for your infrastructure, such as platforms where cross-architecture errors using Docker are frequent ### 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 edict or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (60,828 vs 16,385). Stars measure visibility, not whether either tool fits your constraints. ### Are edict and Agent-Reach open source? Yes - both are open-source projects on GitHub (edict: MIT, Agent-Reach: MIT). ### Where can I find alternatives to edict or Agent-Reach? GraphCanon lists graph-backed alternatives at [edict alternatives](/tools/cft0808-edict/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([edict markdown twin](/tools/cft0808-edict/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/cft0808-edict-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, edict or Agent-Reach? edict: 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 edict and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [edict trust report](/tools/cft0808-edict/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cft0808-edict`](/api/graphcanon/graph?tool=cft0808-edict) - 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/_