Comparison
agentscope vs agency
Verdict
Pick agentscope if agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design; pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Markdown twin · agentscope alternatives · agency alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentscope | agency |
|---|---|---|
| Maintenance | Very active (2d since push) As of 4d · github_public_v1 | Dormant (589d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- agentscope
- Build and run agents you can see, understand and trust.
- agency
- Library for exploring Large Language Models and generative AI in Go
Stars
- agentscope
- 29k
- agency
- 514
Forks
- agentscope
- 3.4k
- agency
- 36
Open issues
- agentscope
- 354
- agency
- 4
Language
- agentscope
- Python
- agency
- Go
Adopt for
- agentscope
- agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design
- agency
- Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Persona
- agentscope
- -
- agency
- -
Runtime
- agentscope
- -
- agency
- -
License
- agentscope
- Apache-2.0
- agency
- MIT
Last pushed
- agentscope
- Aug 14, 2026
- agency
- Jan 8, 2025
Categories
- agentscope
- AI Agents, LLM Frameworks
- agency
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agentscope
- Very active (96%)
- agency
- Dormant (18%)
Days since push
- agentscope
- 2d
- agency
- 589d
Open issues (now)
- agentscope
- 354
- agency
- 4
Stars delta
- agentscope
- +1.0k (30d)
- agency
- +2 (30d)
Open issues delta
- agentscope
- +70 (30d)
- agency
- 0 (30d)
Full report
- agentscope
- Trust report
- agency
- Trust report
Typed relationship
agentscope integrates agency'Agency' could integrate with 'Agentscope' to build and run agents that are observable, understandable, and trustworthy.
Choose agentscope if…
- agentscope is primarily Python; agency is Go.
- License: agentscope is Apache-2.0, agency is MIT.
- 'Agency' could integrate with 'Agentscope' to build and run agents that are observable, understandable, and trustworthy.
- Tags unique to agentscope: agent, chatbot, large language models, llm.
- - You need to develop AI agents where transparency and interpretability are critical.
When NOT to use agentscope
- - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need
Choose agency if…
- agency is primarily Go; agentscope is Python.
- License: agency is MIT, agentscope 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..
- 'Agency' could integrate with 'Agentscope' to build and run agents that are observable, understandable, and trustworthy.
- Tags unique to agency: agents, generative-ai, go, language-models.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentscope-ai/agentscope) · observed Aug 16, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Aug 16, 2026
- Last push (agentscope-ai/agentscope) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (neurocult/agency) · observed Aug 21, 2026
- GitHub forks (neurocult/agency) · observed Aug 21, 2026
- Last push (neurocult/agency) · observed Jan 8, 2025
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentscope 29k · agency 514 (synced Aug 16, 2026).
Common questions
- What is the difference between agentscope and agency?
- agentscope: Build and run agents you can see, understand and trust.. agency: Library for exploring Large Language Models and generative AI in Go. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentscope over agency?
- Choose agentscope over agency when agentscope is primarily Python; agency is Go; License: agentscope is Apache-2.0, agency is MIT; 'Agency' could integrate with 'Agentscope' to build and run agents that are observable, understandable, and trustworthy; Tags unique to agentscope: agent, chatbot, large language models, llm; - You need to develop AI agents where transparency and interpretability are critical.
- When should I choose agency over agentscope?
- Choose agency over agentscope when agency is primarily Go; agentscope is Python; License: agency is MIT, agentscope 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.; 'Agency' could integrate with 'Agentscope' to build and run agents that are observable, understandable, and trustworthy; Tags unique to agency: agents, generative-ai, go, language-models; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
- When should I avoid agentscope?
- - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need
- 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.
- Is agentscope or agency more popular on GitHub?
- agentscope has more GitHub stars (28,973 vs 514). Stars measure visibility, not whether either tool fits your constraints.
- Are agentscope and agency open source?
- Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, agency: MIT).
- Where can I find alternatives to agentscope or agency?
- GraphCanon lists graph-backed alternatives at agentscope alternatives and agency alternatives (agentscope markdown twin, agency 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, agentscope or agency?
- agentscope: Very active. agency: Dormant. 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 agentscope and agency?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope trust report; agency trust report.