Comparison
agency vs rulego
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.
Markdown twin · agency alternatives · rulego alternatives
GraphCanon updated Sep 20, 2026
7views this month
Trust & integrity
| Signal | agency | rulego |
|---|---|---|
| Maintenance | Dormant (619d since push) As of Sep 20, 2026 · github_public_v1 | Very active (5d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 6, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agency
- Library for exploring Large Language Models and generative AI in Go
- rulego
- RuleGo is a lightweight, high-performance rule engine framework for Go.
Stars
- agency
- 514
- rulego
- 1.6k
Forks
- agency
- 36
- rulego
- 157
Open issues
- agency
- 4
- rulego
- 4
Language
- agency
- Go
- rulego
- Go
Adopt for
- agency
- Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
- rulego
- 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
- agency
- -
- rulego
- -
Runtime
- agency
- -
- rulego
- -
License
- agency
- MIT
- rulego
- The Apache-2.0 license ensures permissive usage rights with clear conditions for attribution and warranty disclaimers.
Last pushed
- agency
- Jan 8, 2025
- rulego
- Sep 14, 2026
Categories
- agency
- AI Agents, LLM Frameworks
- rulego
- Developer Tools
Trust and health
Maintenance
- agency
- Dormant (18%)
- rulego
- Very active (96%)
Days since push
- agency
- 619d
- rulego
- 5d
Stars delta
- agency
- +2 (30d)
- rulego
- +27 (30d)
Open issues delta
- agency
- 0 (30d)
- rulego
- -2 (30d)
OSV dependency advisories
- agency
- No lockfile (source not queried)
- rulego
- Published findings
Full report
- agency
- Trust report
- rulego
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (neurocult/agency) · observed Sep 20, 2026
- GitHub forks (neurocult/agency) · observed Sep 20, 2026
- Last push (neurocult/agency) · observed Jan 8, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rulego/rulego) · observed Sep 20, 2026
- GitHub forks (rulego/rulego) · observed Sep 20, 2026
- Last push (rulego/rulego) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Sep 6, 2026
GitHub stars on cards: agency 514 · rulego 1.6k (synced Sep 20, 2026).
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 and rulego alternatives (agency markdown twin, rulego markdown twin), 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 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; rulego trust report.