Comparison
Aegis vs Awesome-LLMSecOps
Verdict
Pick Aegis if aegis provides runtime policy enforcement for AI agents with cryptographic audit trails and human-in-the-loop approvals, supporting zero-code deployment switches suited for various compliance needs; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Markdown twin · Aegis alternatives · Awesome-LLMSecOps alternatives
GraphCanon updated Sep 20, 2026
6views this month
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Trust & integrity
| Signal | Aegis | Awesome-LLMSecOps |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 10, 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 10, 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
- Aegis
- Runtime policy enforcement for AI agents with cryptographic audit trail and human-in-the-loop approvals.
- Awesome-LLMSecOps
- Curated security resources for LLM operations
Stars
- Aegis
- 340
- Awesome-LLMSecOps
- 155
Forks
- Aegis
- 37
- Awesome-LLMSecOps
- 76
Open issues
- Aegis
- 3
- Awesome-LLMSecOps
- 20
Language
- Aegis
- TypeScript
- Awesome-LLMSecOps
- HTML
Adopt for
- Aegis
- Aegis provides runtime policy enforcement for AI agents with cryptographic audit trails and human-in-the-loop approvals, supporting zero-code deployment switches suited for various compliance needs.
- Awesome-LLMSecOps
- Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Persona
- Aegis
- -
- Awesome-LLMSecOps
- -
Runtime
- Aegis
- -
- Awesome-LLMSecOps
- -
License
- Aegis
- MIT
- Awesome-LLMSecOps
- -
Last pushed
- Aegis
- Sep 6, 2026
- Awesome-LLMSecOps
- Aug 23, 2026
Categories
- Aegis
- AI Agents, Evaluation & Observability
- Awesome-LLMSecOps
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- Aegis
- Very active (96%)
- Awesome-LLMSecOps
- Active (82%)
Days since push
- Aegis
- 4d
- Awesome-LLMSecOps
- 19d
Open issues (now)
- Aegis
- 3
- Awesome-LLMSecOps
- 20
Stars delta
- Aegis
- -27 (30d)
- Awesome-LLMSecOps
- +5 (30d)
Open issues delta
- Aegis
- 0 (30d)
- Awesome-LLMSecOps
- +9 (30d)
Full report
- Aegis
- Trust report
- Awesome-LLMSecOps
- Trust report
Choose Aegis if…
- Aegis is primarily TypeScript; Awesome-LLMSecOps is HTML.
- Tags unique to Aegis: ai-safety, anthropic, audit-trail, llm-observability.
- Aegis ships Docker support for self-hosted deployment.
- You need cryptographic assurance of the audit trail to meet high-security standards.
When NOT to use Aegis
- The project does not require a zero-code deployment switch and can manage changes directly in the codebase.
- Minimal regulatory requirements mean that elaborate configurations like Aegis's strict retention policies are unnecessary.
Choose Awesome-LLMSecOps if…
- Awesome-LLMSecOps is primarily HTML; Aegis is TypeScript.
- 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 (Justin0504/Aegis) · observed Sep 20, 2026
- GitHub forks (Justin0504/Aegis) · observed Sep 20, 2026
- Last push (Justin0504/Aegis) · observed Sep 6, 2026
- License file (MIT) · 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: Aegis 340 · Awesome-LLMSecOps 155 (synced Sep 20, 2026).
Common questions
- What is the difference between Aegis and Awesome-LLMSecOps?
- Aegis: Runtime policy enforcement for AI agents with cryptographic audit trail and human-in-the-loop approvals.. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories.
- When should I choose Aegis over Awesome-LLMSecOps?
- Choose Aegis over Awesome-LLMSecOps when Aegis is primarily TypeScript; Awesome-LLMSecOps is HTML; Tags unique to Aegis: ai-safety, anthropic, audit-trail, llm-observability; Aegis ships Docker support for self-hosted deployment; You need cryptographic assurance of the audit trail to meet high-security standards.
- When should I choose Awesome-LLMSecOps over Aegis?
- Choose Awesome-LLMSecOps over Aegis when Awesome-LLMSecOps is primarily HTML; Aegis is TypeScript; 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 Aegis?
- The project does not require a zero-code deployment switch and can manage changes directly in the codebase. Minimal regulatory requirements mean that elaborate configurations like Aegis's strict retention policies are unnecessary.
- 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 Aegis or Awesome-LLMSecOps more popular on GitHub?
- Aegis has more GitHub stars (340 vs 155). Stars measure visibility, not whether either tool fits your constraints.
- Are Aegis and Awesome-LLMSecOps open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Aegis or Awesome-LLMSecOps?
- GraphCanon lists graph-backed alternatives at Aegis alternatives and Awesome-LLMSecOps alternatives (Aegis 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, Aegis or Awesome-LLMSecOps?
- Aegis: 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 Aegis and Awesome-LLMSecOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aegis trust report; Awesome-LLMSecOps trust report.