--- title: "shellward vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jnmetacode-shellward-vs-microsoft-autogen" tools: ["jnmetacode-shellward", "microsoft-autogen"] --- # shellward vs autogen *GraphCanon updated Sep 20, 2026* ## Verdict Pick shellward if a tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws; pick autogen if autoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction. [shellward](https://jnmetacode.github.io/shellward/) reports 133 GitHub stars, 23 forks, and 4 open issues, last pushed Sep 9, 2026. [autogen](https://microsoft.github.io/autogen/) has 61k stars, 9.2k forks, and 1.1k open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [shellward's repository](https://github.com/jnMetaCode/shellward) and [autogen's repository](https://github.com/microsoft/autogen). | | [shellward](/tools/jnmetacode-shellward.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | AI application compliance gateway | A programming framework for agentic AI | | Stars | 133 | 61,036 | | Forks | 23 | 9,232 | | Open issues | 4 | 1,075 | | Language | TypeScript | Python | | Adopt for | A tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws. | AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC-BY-4.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [shellward](/tools/jnmetacode-shellward.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 155d | | Open issues (now) | 4 | 1.1k | | Stars delta | +4 (30d) | +897 (30d) | | Open issues delta | 0 (30d) | +105 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/jnmetacode-shellward/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Node.js**: [shellward](/tools/jnmetacode-shellward.md) - Node.js runtime; [autogen](/tools/microsoft-autogen.md) - Node.js runtime ## Decision facts: shellward - **Adopt for:** A tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws. ## Decision facts: autogen - **Requirements:** AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks. - **Adopt for:** AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction. ## Choose when ### Choose shellward if… - shellward is primarily TypeScript; autogen is Python. - License: shellward is Apache-2.0, autogen is CC-BY-4.0. - 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 ### Choose autogen if… - autogen is primarily Python; shellward is TypeScript. - License: autogen is CC-BY-4.0, shellward is Apache-2.0. - Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.. - Tags unique to autogen: agentic, agentic-agi, agents, ai. - Also covers LLM Frameworks. - When you need a structured approach to create and manage AI agents with Python. ## 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 ## When NOT to use autogen - If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. - When you need a framework that does not rely on potentially untrusted MCP servers for execution. - If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. - When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers. ## Common questions ### What is the difference between shellward and autogen? shellward: AI application compliance gateway. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose shellward over autogen? Choose shellward over autogen when shellward is primarily TypeScript; autogen is Python; License: shellward is Apache-2.0, autogen is CC-BY-4.0; 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 autogen over shellward? Choose autogen over shellward when autogen is primarily Python; shellward is TypeScript; License: autogen is CC-BY-4.0, shellward is Apache-2.0; Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; Tags unique to autogen: agentic, agentic-agi, agents, ai; Also covers LLM Frameworks; When you need a structured approach to create and manage AI agents with Python. ### 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 autogen? If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. When you need a framework that does not rely on potentially untrusted MCP servers for execution. If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers. ### Is shellward or autogen more popular on GitHub? autogen has more GitHub stars (61,036 vs 133). Stars measure visibility, not whether either tool fits your constraints. ### Are shellward and autogen open source? Yes - both are open-source projects on GitHub (shellward: Apache-2.0, autogen: CC-BY-4.0). ### Where can I find alternatives to shellward or autogen? GraphCanon lists graph-backed alternatives at [shellward alternatives](/tools/jnmetacode-shellward/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([shellward markdown twin](/tools/jnmetacode-shellward/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/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/jnmetacode-shellward-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, shellward or autogen? shellward: Very active. autogen: Slowing. 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 autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [shellward trust report](/tools/jnmetacode-shellward/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jnmetacode-shellward`](/api/graphcanon/graph?tool=jnmetacode-shellward) - 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/_