Comparison
agent-toolkit vs Awesome-LLMSecOps
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.
Markdown twin · agent-toolkit alternatives · Awesome-LLMSecOps alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | agent-toolkit | Awesome-LLMSecOps |
|---|---|---|
| Maintenance | Slowing (198d since push) As of Sep 20, 2026 · github_public_v1 | Active (19d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 12, 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 Jul 15, 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
- agent-toolkit
- A curated collection of skills for AI coding agents
- Awesome-LLMSecOps
- Curated security resources for LLM operations
Stars
- agent-toolkit
- 2.5k
- Awesome-LLMSecOps
- 155
Forks
- agent-toolkit
- 226
- Awesome-LLMSecOps
- 76
Open issues
- agent-toolkit
- 18
- Awesome-LLMSecOps
- 20
Language
- agent-toolkit
- Python
- Awesome-LLMSecOps
- HTML
Adopt for
- agent-toolkit
- Extends AI coding agent capabilities with Python skills for development and professional workflows
- Awesome-LLMSecOps
- Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Persona
- agent-toolkit
- -
- Awesome-LLMSecOps
- -
Runtime
- agent-toolkit
- -
- Awesome-LLMSecOps
- -
License
- agent-toolkit
- MIT
- Awesome-LLMSecOps
- -
Last pushed
- agent-toolkit
- Mar 5, 2026
- Awesome-LLMSecOps
- Aug 23, 2026
Categories
- agent-toolkit
- AI Agents, Developer Tools
- Awesome-LLMSecOps
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-toolkit
- Slowing (36%)
- Awesome-LLMSecOps
- Active (82%)
Days since push
- agent-toolkit
- 198d
- Awesome-LLMSecOps
- 19d
Open issues (now)
- agent-toolkit
- 18
- Awesome-LLMSecOps
- 20
Stars delta
- agent-toolkit
- +176 (30d)
- Awesome-LLMSecOps
- +5 (30d)
Open issues delta
- agent-toolkit
- +1 (30d)
- Awesome-LLMSecOps
- +9 (30d)
Owner type
- agent-toolkit
- Organization
- Awesome-LLMSecOps
- User
Full report
- agent-toolkit
- Trust report
- Awesome-LLMSecOps
- Trust report
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
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
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 Awesome-LLMSecOps
- Looking for extensive academic references or ArXiv papers in descriptions
- Require real-time interactive tools rather than curated static lists of resources
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (softaworks/agent-toolkit) · observed Sep 20, 2026
- GitHub forks (softaworks/agent-toolkit) · observed Sep 20, 2026
- Last push (softaworks/agent-toolkit) · observed Mar 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (wearetyomsmnv/Awesome-LLMSecOps) · observed Sep 20, 2026
- GitHub forks (wearetyomsmnv/Awesome-LLMSecOps) · observed Sep 20, 2026
- Last push (wearetyomsmnv/Awesome-LLMSecOps) · observed Aug 23, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agent-toolkit 2.5k · Awesome-LLMSecOps 155 (synced Sep 20, 2026).
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 and Awesome-LLMSecOps alternatives (agent-toolkit markdown twin, Awesome-LLMSecOps 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, 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; Awesome-LLMSecOps trust report.