Comparison
agentscope vs skyagi
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 skyagi if skyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license.
Markdown twin · agentscope alternatives · skyagi alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentscope | skyagi |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Dormant (1058d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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.
- skyagi
- SkyAGI provides emerging human-behavior simulation capability in LLM.
Stars
- agentscope
- 29k
- skyagi
- 778
Forks
- agentscope
- 3.4k
- skyagi
- 56
Open issues
- agentscope
- 354
- skyagi
- 42
Language
- agentscope
- Python
- skyagi
- TypeScript
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
- skyagi
- SkyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license.
Persona
- agentscope
- -
- skyagi
- -
Runtime
- agentscope
- -
- skyagi
- -
License
- agentscope
- Apache-2.0
- skyagi
- Apache-2.0
Last pushed
- agentscope
- Aug 14, 2026
- skyagi
- Sep 21, 2023
Categories
- agentscope
- AI Agents, LLM Frameworks
- skyagi
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agentscope
- Very active (96%)
- skyagi
- Dormant (18%)
Days since push
- agentscope
- 2d
- skyagi
- 1058d
Open issues (now)
- agentscope
- 354
- skyagi
- 42
Stars delta
- agentscope
- +1.0k (30d)
- skyagi
- +1 (30d)
Open issues delta
- agentscope
- +70 (30d)
- skyagi
- +1 (30d)
Owner type
- agentscope
- Organization
- skyagi
- User
OSV dependency advisories
- agentscope
- No lockfile (source not queried)
- skyagi
- No published findings from this source as of 2026-07-11
Full report
- agentscope
- Trust report
- skyagi
- Trust report
Shared compatibility
- Python · agentscope: Python runtime · skyagi: Python runtime
Choose agentscope if…
- agentscope is primarily Python; skyagi is TypeScript.
- Tags unique to agentscope: agent, chatbot, large language models, llm-agent.
- - 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 skyagi if…
- skyagi is primarily TypeScript; agentscope is Python.
- Requirements: It requires a valid OpenAI API key for operational purposes..
- Tags unique to skyagi: ai-agent, aigc, langchain, language-model.
- if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application
When NOT to use skyagi
- if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations
- when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function
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 (litanlitudan/skyagi) · observed Aug 14, 2026
- GitHub forks (litanlitudan/skyagi) · observed Aug 14, 2026
- Last push (litanlitudan/skyagi) · observed Sep 21, 2023
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentscope 29k · skyagi 778 (synced Aug 16, 2026).
Common questions
- What is the difference between agentscope and skyagi?
- agentscope: Build and run agents you can see, understand and trust.. skyagi: SkyAGI provides emerging human-behavior simulation capability in LLM.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentscope over skyagi?
- Choose agentscope over skyagi when agentscope is primarily Python; skyagi is TypeScript; Tags unique to agentscope: agent, chatbot, large language models, llm-agent; - You need to develop AI agents where transparency and interpretability are critical.
- When should I choose skyagi over agentscope?
- Choose skyagi over agentscope when skyagi is primarily TypeScript; agentscope is Python; Requirements: It requires a valid OpenAI API key for operational purposes.; Tags unique to skyagi: ai-agent, aigc, langchain, language-model; if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application.
- 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 skyagi?
- if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function
- Is agentscope or skyagi more popular on GitHub?
- agentscope has more GitHub stars (28,973 vs 778). Stars measure visibility, not whether either tool fits your constraints.
- Are agentscope and skyagi open source?
- Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, skyagi: Apache-2.0).
- Where can I find alternatives to agentscope or skyagi?
- GraphCanon lists graph-backed alternatives at agentscope alternatives and skyagi alternatives (agentscope markdown twin, skyagi 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 skyagi?
- agentscope: Very active. skyagi: 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 skyagi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope trust report; skyagi trust report.