--- title: "agency vs rulego" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/neurocult-agency-vs-rulego-rulego" tools: ["neurocult-agency", "rulego-rulego"] --- # agency vs rulego *GraphCanon updated Sep 20, 2026* ## Verdict Pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques; pick rulego if ruleGo serves as a lightweight and high-performance rule engine framework developed in Go, best suited for developers focused on AI tasks and automation needing flexibility through component orchestration. [agency](https://github.com/neurocult/agency) reports 514 GitHub stars, 36 forks, and 4 open issues, last pushed Jan 8, 2025. [rulego](https://rulego.cc) has 1.6k stars, 157 forks, and 4 open issues, last pushed Sep 14, 2026. Figures are from public GitHub metadata via [agency's repository](https://github.com/neurocult/agency) and [rulego's repository](https://github.com/rulego/rulego). | | [agency](/tools/neurocult-agency.md) | [rulego](/tools/rulego-rulego.md) | | --- | --- | --- | | Tagline | Library for exploring Large Language Models and generative AI in Go | RuleGo is a lightweight, high-performance rule engine framework for Go. | | Stars | 514 | 1,606 | | Forks | 36 | 157 | | Open issues | 4 | 4 | | Language | Go | Go | | Adopt for | Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. | RuleGo serves as a lightweight and high-performance rule engine framework developed in Go, best suited for developers focused on AI tasks and automation needing flexibility through component orchestration. | | Persona | - | - | | Runtime | - | - | | License | MIT | The Apache-2.0 license ensures permissive usage rights with clear conditions for attribution and warranty disclaimers. | | Categories | AI Agents, LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agency](/tools/neurocult-agency.md) | [rulego](/tools/rulego-rulego.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 619d | 5d | | Stars delta | +2 (30d) | +27 (30d) | | Open issues delta | 0 (30d) | -2 (30d) | | Full report | [trust report](/tools/neurocult-agency/trust.md) | [trust report](/tools/rulego-rulego/trust.md) | ## Decision facts: agency - **Pricing:** freemium - Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository. - **Adopt for:** Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. ## Decision facts: rulego - **Adopt for:** RuleGo serves as a lightweight and high-performance rule engine framework developed in Go, best suited for developers focused on AI tasks and automation needing flexibility through component orchestration. - **License detail:** The Apache-2.0 license ensures permissive usage rights with clear conditions for attribution and warranty disclaimers. ## Choose when ### Choose agency if… - License: agency is MIT, rulego is Apache-2.0. - Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.. - Tags unique to agency: agents, generative-ai, language models, neural-networks. - Also covers AI Agents, LLM Frameworks. - If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### Choose rulego if… - License: rulego is Apache-2.0, agency is MIT. - Tags unique to rulego: ai, automation, data-flow, edge-computing. - Also covers Developer Tools. - You face intricate workflow management requirements within an AI application stack and prefer to use the Go language. ## When NOT to use agency - Avoid agency if your primary programming expertise lies outside of the Go ecosystem. - Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide. ## When NOT to use rulego - If your organization has a strong preference for Python or another programming language over Go, as RuleGo is specifically designed for use within the Go ecosystem. - In situations where high-level abstract tools are needed and developer overhead can be minimized, considering RuleGo might add unnecessary complexity due to its focus on low-code frameworks. ## Common questions ### What is the difference between agency and rulego? agency: Library for exploring Large Language Models and generative AI in Go. rulego: RuleGo is a lightweight, high-performance rule engine framework for Go.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agency over rulego? Choose agency over rulego when License: agency is MIT, rulego is Apache-2.0; Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: agents, generative-ai, language models, neural-networks; Also covers AI Agents, LLM Frameworks; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### When should I choose rulego over agency? Choose rulego over agency when License: rulego is Apache-2.0, agency is MIT; Tags unique to rulego: ai, automation, data-flow, edge-computing; Also covers Developer Tools; You face intricate workflow management requirements within an AI application stack and prefer to use the Go language. ### When should I avoid agency? Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide. ### When should I avoid rulego? If your organization has a strong preference for Python or another programming language over Go, as RuleGo is specifically designed for use within the Go ecosystem. In situations where high-level abstract tools are needed and developer overhead can be minimized, considering RuleGo might add unnecessary complexity due to its focus on low-code frameworks. ### Is agency or rulego more popular on GitHub? rulego has more GitHub stars (1,606 vs 514). Stars measure visibility, not whether either tool fits your constraints. ### Are agency and rulego open source? Yes - both are open-source projects on GitHub (agency: MIT, rulego: Apache-2.0). ### Where can I find alternatives to agency or rulego? GraphCanon lists graph-backed alternatives at [agency alternatives](/tools/neurocult-agency/alternatives) and [rulego alternatives](/tools/rulego-rulego/alternatives) ([agency markdown twin](/tools/neurocult-agency/alternatives.md), [rulego markdown twin](/tools/rulego-rulego/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/neurocult-agency-vs-rulego-rulego.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agency or rulego? agency: Dormant. rulego: 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 agency and rulego? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agency trust report](/tools/neurocult-agency/trust); [rulego trust report](/tools/rulego-rulego/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=neurocult-agency`](/api/graphcanon/graph?tool=neurocult-agency) - 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/_