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Comparison

embedguard vs gateway

Verdict

Pick embedguard if embedguard is a Python tool designed for detecting and attesting provenance against adversarial embedding attacks in RAG systems, emphasizing AI safety and security; pick gateway if self-hosted firewall for securing AI applications with guardrails and content moderation.

Markdown twin · embedguard alternatives · gateway alternatives

GraphCanon updated Sep 20, 2026

7views this month

embedguard logo

embedguard

neerazz/embedguard

★ 0pushed Aug 18, 2026
vs
gateway logo

gateway

trylonai/gateway

★ 131pushed Jun 25, 2025

Trust & integrity

Signalembedguardgateway
Maintenance
Steady (30d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (445d since push)
As of Sep 14, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 14, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 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
embedguard trust reportgateway trust reportTrust methodology

Tagline

embedguard
Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems
gateway
Self-hosted firewall for securing AI applications with guardrails and content moderation.

Stars

embedguard
0
gateway
131

Forks

embedguard
0
gateway
12

Open issues

embedguard
0
gateway
0

Language

embedguard
Python
gateway
Python

Adopt for

embedguard
Embedguard is a Python tool designed for detecting and attesting provenance against adversarial embedding attacks in RAG systems, emphasizing AI safety and security.
gateway
Self-hosted firewall for securing AI applications with guardrails and content moderation.

Persona

embedguard
-
gateway
-

Runtime

embedguard
-
gateway
-

License

embedguard
MIT License
gateway
Other

Last pushed

embedguard
Aug 18, 2026
gateway
Jun 25, 2025

Categories

embedguard
Evaluation & Observability, LLM Frameworks, Vector Databases
gateway
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

embedguard
Steady (60%)
gateway
Dormant (18%)

Days since push

embedguard
30d
gateway
445d

Stars delta

embedguard
0 (30d)
gateway
+4 (30d)

Owner type

embedguard
User
gateway
Organization

OSV dependency advisories

embedguard
Published findings
gateway
No lockfile (source not queried)

Full report

embedguard
Trust report
gateway
Trust report

Choose embedguard if…

  • License: embedguard is MIT, gateway is Other.
  • Requirements: Installation requires Python and pip.; Development mode installation is supported..
  • Tags unique to embedguard: ai-safety, embedding-attacks, llm, llm-security.
  • Also covers Vector Databases.
  • When you need to ensure the integrity of embeddings in RAG systems against adversarial attacks.

When NOT to use embedguard

  • If your focus is on general-purpose AI model evaluation without a specific need for adversarial embedding attack detection.
  • When your application does not involve RAG systems or you are not concerned with embedding security and provenance.
GitHubDetails

Choose gateway if…

  • License: gateway is Other, embedguard is MIT.
  • Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment.
  • Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time.
  • Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction.
  • When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker

When NOT to use gateway

  • Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments
  • Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security
GitHubDetails

Explore

embedguard trust report →gateway trust report →Evaluation & Observability category →LLM Frameworks category →Vector Databases category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: embedguard 0 · gateway 131 (synced Sep 20, 2026).

Common questions

What is the difference between embedguard and gateway?
embedguard: Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems. gateway: Self-hosted firewall for securing AI applications with guardrails and content moderation.. See the comparison table for live GitHub stats and shared categories.
When should I choose embedguard over gateway?
Choose embedguard over gateway when License: embedguard is MIT, gateway is Other; Requirements: Installation requires Python and pip.; Development mode installation is supported.; Tags unique to embedguard: ai-safety, embedding-attacks, llm, llm-security; Also covers Vector Databases; When you need to ensure the integrity of embeddings in RAG systems against adversarial attacks.
When should I choose gateway over embedguard?
Choose gateway over embedguard when License: gateway is Other, embedguard is MIT; Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time; Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction; When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker.
When should I avoid embedguard?
If your focus is on general-purpose AI model evaluation without a specific need for adversarial embedding attack detection. When your application does not involve RAG systems or you are not concerned with embedding security and provenance.
When should I avoid gateway?
Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security
Is embedguard or gateway more popular on GitHub?
gateway has more GitHub stars (131 vs 0). Stars measure visibility, not whether either tool fits your constraints.
Are embedguard and gateway open source?
Yes - both are open-source projects on GitHub (embedguard: MIT, gateway: Other).
Where can I find alternatives to embedguard or gateway?
GraphCanon lists graph-backed alternatives at embedguard alternatives and gateway alternatives (embedguard markdown twin, gateway 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, embedguard or gateway?
embedguard: Steady. gateway: Dormant. 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 embedguard and gateway?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: embedguard trust report; gateway trust report.

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