Comparison
shellward vs AutoGPT
Verdict
Pick shellward if a tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws; pick AutoGPT if autoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Markdown twin · shellward alternatives · AutoGPT alternatives
GraphCanon updated Sep 12, 2026
14views this month
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Trust & integrity
| Signal | shellward | AutoGPT |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 12, 2026 · github_public_v1 | Very active (0d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 12, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- shellward
- AI application compliance gateway
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- shellward
- 133
- AutoGPT
- 187k
Forks
- shellward
- 23
- AutoGPT
- 46k
Open issues
- shellward
- 4
- AutoGPT
- 517
Language
- shellward
- TypeScript
- AutoGPT
- Python
Adopt for
- shellward
- A tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws.
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- shellward
- -
- AutoGPT
- -
Runtime
- shellward
- -
- AutoGPT
- -
License
- shellward
- Apache-2.0
- AutoGPT
- Other
Last pushed
- shellward
- Sep 9, 2026
- AutoGPT
- Aug 15, 2026
Categories
- shellward
- AI Agents, Evaluation & Observability
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Days since push
- shellward
- 2d
- AutoGPT
- 0d
Open issues (now)
- shellward
- 4
- AutoGPT
- 517
Stars delta
- shellward
- +4 (30d)
- AutoGPT
- +1.0k (30d)
Open issues delta
- shellward
- 0 (30d)
- AutoGPT
- +19 (30d)
Owner type
- shellward
- User
- AutoGPT
- Organization
Full report
- shellward
- Trust report
- AutoGPT
- Trust report
Choose shellward if…
- shellward is primarily TypeScript; AutoGPT is Python.
- License: shellward is Apache-2.0, AutoGPT is Other.
- Tags unique to shellward: agent-security, ai-firewall, data-exfiltration, dlp.
- Also covers Evaluation & Observability.
- shellward ships Docker support for self-hosted deployment.
- When AI projects involve personal information or cross-border data transfers under China's regulatory framework
When NOT to use shellward
- If your AI project is not subject to Chinese laws and regulations
- For projects needing only general compliance checks without specific attention to Chinese legal requirements
Choose AutoGPT if…
- AutoGPT is primarily Python; shellward is TypeScript.
- License: AutoGPT is Other, shellward is Apache-2.0.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- Also covers LLM Frameworks.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jnMetaCode/shellward) · observed Sep 12, 2026
- GitHub forks (jnMetaCode/shellward) · observed Sep 12, 2026
- Last push (jnMetaCode/shellward) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: shellward 133 · AutoGPT 187k (synced Sep 12, 2026).
Common questions
- What is the difference between shellward and AutoGPT?
- shellward: AI application compliance gateway. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose shellward over AutoGPT?
- Choose shellward over AutoGPT when shellward is primarily TypeScript; AutoGPT is Python; License: shellward is Apache-2.0, AutoGPT is Other; Tags unique to shellward: agent-security, ai-firewall, data-exfiltration, dlp; Also covers Evaluation & Observability; shellward ships Docker support for self-hosted deployment; When AI projects involve personal information or cross-border data transfers under China's regulatory framework.
- When should I choose AutoGPT over shellward?
- Choose AutoGPT over shellward when AutoGPT is primarily Python; shellward is TypeScript; License: AutoGPT is Other, shellward is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid shellward?
- If your AI project is not subject to Chinese laws and regulations For projects needing only general compliance checks without specific attention to Chinese legal requirements
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- Is shellward or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 133). Stars measure visibility, not whether either tool fits your constraints.
- Are shellward and AutoGPT open source?
- Yes - both are open-source projects on GitHub (shellward: Apache-2.0, AutoGPT: Other).
- Where can I find alternatives to shellward or AutoGPT?
- GraphCanon lists graph-backed alternatives at shellward alternatives and AutoGPT alternatives (shellward markdown twin, AutoGPT 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, shellward or AutoGPT?
- shellward: Very active. AutoGPT: 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 shellward and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: shellward trust report; AutoGPT trust report.