--- title: "agent-toolkit vs Awesome-LLMSecOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/softaworks-agent-toolkit-vs-wearetyomsmnv-awesome-llmsecops" tools: ["softaworks-agent-toolkit", "wearetyomsmnv-awesome-llmsecops"] --- # agent-toolkit vs Awesome-LLMSecOps *GraphCanon updated Sep 20, 2026* ## Verdict Pick agent-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. [agent-toolkit](https://github.com/softaworks/agent-toolkit) reports 2.5k GitHub stars, 226 forks, and 18 open issues, last pushed Mar 5, 2026. [Awesome-LLMSecOps](https://github.com/wearetyomsmnv/Awesome-LLMSecOps) has 155 stars, 76 forks, and 20 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [agent-toolkit's repository](https://github.com/softaworks/agent-toolkit) and [Awesome-LLMSecOps's repository](https://github.com/wearetyomsmnv/Awesome-LLMSecOps). | | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Tagline | A curated collection of skills for AI coding agents | Curated security resources for LLM operations | | Stars | 2,483 | 155 | | Forks | 226 | 76 | | Open issues | 18 | 20 | | Language | Python | HTML | | Adopt for | Extends AI coding agent capabilities with Python skills for development and professional workflows | Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Developer Tools | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 198d | 19d | | Open issues (now) | 18 | 20 | | Stars delta | +176 (30d) | +5 (30d) | | Open issues delta | +1 (30d) | +9 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/softaworks-agent-toolkit/trust.md) | [trust report](/tools/wearetyomsmnv-awesome-llmsecops/trust.md) | ## Decision facts: agent-toolkit - **Adopt for:** Extends AI coding agent capabilities with Python skills for development and professional workflows ## Decision facts: Awesome-LLMSecOps - **Adopt for:** Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. ## Choose when ### Choose agent-toolkit if… - agent-toolkit is primarily Python; Awesome-LLMSecOps is HTML. - Tags unique to agent-toolkit: agent-skills, ai, automation, claude. - Also covers Developer Tools. - For enhancing specific tasks like documentation, planning, and workflow management ### Choose Awesome-LLMSecOps if… - Awesome-LLMSecOps is primarily HTML; agent-toolkit is Python. - Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection. - Also covers Evaluation & Observability. - Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation ## When NOT to use agent-toolkit - If you seek support for languages other than Python - When working with non-Python based coding agents that require specialized skills not covered by this toolkit - In cases where custom, from-scratch development is preferred over using pre-packaged scripts ## When NOT to use Awesome-LLMSecOps - Looking for extensive academic references or ArXiv papers in descriptions - Require real-time interactive tools rather than curated static lists of resources ## Common questions ### What is the difference between agent-toolkit and Awesome-LLMSecOps? agent-toolkit: A curated collection of skills for AI coding agents. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-toolkit over Awesome-LLMSecOps? Choose agent-toolkit over Awesome-LLMSecOps when agent-toolkit is primarily Python; Awesome-LLMSecOps is HTML; Tags unique to agent-toolkit: agent-skills, ai, automation, claude; Also covers Developer Tools; For enhancing specific tasks like documentation, planning, and workflow management. ### When should I choose Awesome-LLMSecOps over agent-toolkit? Choose Awesome-LLMSecOps over agent-toolkit when Awesome-LLMSecOps is primarily HTML; agent-toolkit is Python; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Also covers Evaluation & Observability; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation. ### When should I avoid agent-toolkit? If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts ### When should I avoid Awesome-LLMSecOps? Looking for extensive academic references or ArXiv papers in descriptions Require real-time interactive tools rather than curated static lists of resources ### Is agent-toolkit or Awesome-LLMSecOps more popular on GitHub? agent-toolkit has more GitHub stars (2,483 vs 155). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-toolkit and Awesome-LLMSecOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agent-toolkit or Awesome-LLMSecOps? GraphCanon lists graph-backed alternatives at [agent-toolkit alternatives](/tools/softaworks-agent-toolkit/alternatives) and [Awesome-LLMSecOps alternatives](/tools/wearetyomsmnv-awesome-llmsecops/alternatives) ([agent-toolkit markdown twin](/tools/softaworks-agent-toolkit/alternatives.md), [Awesome-LLMSecOps markdown twin](/tools/wearetyomsmnv-awesome-llmsecops/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/softaworks-agent-toolkit-vs-wearetyomsmnv-awesome-llmsecops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-toolkit or Awesome-LLMSecOps? agent-toolkit: Slowing. Awesome-LLMSecOps: 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 agent-toolkit and Awesome-LLMSecOps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-toolkit trust report](/tools/softaworks-agent-toolkit/trust); [Awesome-LLMSecOps trust report](/tools/wearetyomsmnv-awesome-llmsecops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=softaworks-agent-toolkit`](/api/graphcanon/graph?tool=softaworks-agent-toolkit) - 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/_