Comparison
aigis vs Awesome-LLMSecOps
Verdict
Pick aigis if aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Markdown twin · aigis alternatives · Awesome-LLMSecOps alternatives
GraphCanon updated Sep 20, 2026
6views this month
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Trust & integrity
| Signal | aigis | Awesome-LLMSecOps |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 13, 2026 · github_public_v1 | Active (19d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 13, 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
- aigis
- Deterministic zero-dependency Python firewall for AI agents
- Awesome-LLMSecOps
- Curated security resources for LLM operations
Stars
- aigis
- 54
- Awesome-LLMSecOps
- 155
Forks
- aigis
- 8
- Awesome-LLMSecOps
- 76
Open issues
- aigis
- 13
- Awesome-LLMSecOps
- 20
Language
- aigis
- Python
- Awesome-LLMSecOps
- HTML
Adopt for
- aigis
- aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations.
- Awesome-LLMSecOps
- Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Persona
- aigis
- -
- Awesome-LLMSecOps
- -
Runtime
- aigis
- -
- Awesome-LLMSecOps
- -
License
- aigis
- Apache-2.0
- Awesome-LLMSecOps
- -
Last pushed
- aigis
- Sep 8, 2026
- Awesome-LLMSecOps
- Aug 23, 2026
Categories
- aigis
- AI Agents, Evaluation & Observability
- Awesome-LLMSecOps
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- aigis
- Very active (96%)
- Awesome-LLMSecOps
- Active (82%)
Days since push
- aigis
- 4d
- Awesome-LLMSecOps
- 19d
Open issues (now)
- aigis
- 13
- Awesome-LLMSecOps
- 20
Stars delta
- aigis
- +1 (30d)
- Awesome-LLMSecOps
- +5 (30d)
Open issues delta
- aigis
- +2 (30d)
- Awesome-LLMSecOps
- +9 (30d)
Full report
- aigis
- Trust report
- Awesome-LLMSecOps
- Trust report
Choose aigis if…
- aigis is primarily Python; Awesome-LLMSecOps is HTML.
- Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity.
- aigis ships Docker support for self-hosted deployment.
- When your AI application requires robust security measures with minimal setup complexity
When NOT to use aigis
- If your project strictly avoids adding third-party libraries
- When a full-fledged security solution with comprehensive features is necessary over minimal dependency footprint
Choose Awesome-LLMSecOps if…
- Awesome-LLMSecOps is primarily HTML; aigis is Python.
- Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection.
- 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 (killertcell428/aigis) · observed Sep 20, 2026
- GitHub forks (killertcell428/aigis) · observed Sep 20, 2026
- Last push (killertcell428/aigis) · observed Sep 8, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 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: aigis 54 · Awesome-LLMSecOps 155 (synced Sep 20, 2026).
Common questions
- What is the difference between aigis and Awesome-LLMSecOps?
- aigis: Deterministic zero-dependency Python firewall for AI agents. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories.
- When should I choose aigis over Awesome-LLMSecOps?
- Choose aigis over Awesome-LLMSecOps when aigis is primarily Python; Awesome-LLMSecOps is HTML; Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity; aigis ships Docker support for self-hosted deployment; When your AI application requires robust security measures with minimal setup complexity.
- When should I choose Awesome-LLMSecOps over aigis?
- Choose Awesome-LLMSecOps over aigis when Awesome-LLMSecOps is primarily HTML; aigis is Python; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation.
- When should I avoid aigis?
- If your project strictly avoids adding third-party libraries When a full-fledged security solution with comprehensive features is necessary over minimal dependency footprint
- 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 aigis or Awesome-LLMSecOps more popular on GitHub?
- Awesome-LLMSecOps has more GitHub stars (155 vs 54). Stars measure visibility, not whether either tool fits your constraints.
- Are aigis and Awesome-LLMSecOps open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aigis or Awesome-LLMSecOps?
- GraphCanon lists graph-backed alternatives at aigis alternatives and Awesome-LLMSecOps alternatives (aigis 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, aigis or Awesome-LLMSecOps?
- aigis: Very active. 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 aigis and Awesome-LLMSecOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aigis trust report; Awesome-LLMSecOps trust report.