Home/Compare/invariant-gateway vs fast-llm-security-guardrails

Comparison

invariant-gateway vs fast-llm-security-guardrails

Verdict

Pick invariant-gateway if the invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations; pick fast-llm-security-guardrails if fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.

Markdown twin · invariant-gateway alternatives · fast-llm-security-guardrails alternatives

GraphCanon updated Sep 20, 2026

invariant-gateway logo

invariant-gateway

invariantlabs-ai/invariant-gateway

80pushed Nov 6, 2025
vs
fast-llm-security-guardrails logo

fast-llm-security-guardrails

ZenGuard-AI/fast-llm-security-guardrails

155pushed Feb 3, 2026

Trust & integrity

Signalinvariant-gatewayfast-llm-security-guardrails
Maintenance
Slowing (310d since push)
As of Sep 13, 2026 · github_public_v1
Slowing (222d since push)
As of Sep 14, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 13, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 14, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
Published findings
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

invariant-gateway
LLM proxy for observing and debugging AI agent activities
fast-llm-security-guardrails
The fastest Trust Layer for AI Agents

Stars

invariant-gateway
80
fast-llm-security-guardrails
155

Forks

invariant-gateway
9
fast-llm-security-guardrails
21

Open issues

invariant-gateway
1
fast-llm-security-guardrails
0

Language

invariant-gateway
Python
fast-llm-security-guardrails
Python

Adopt for

invariant-gateway
The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations.
fast-llm-security-guardrails
fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.

Persona

invariant-gateway
-
fast-llm-security-guardrails
-

Runtime

invariant-gateway
-
fast-llm-security-guardrails
-

License

invariant-gateway
Apache-2.0
fast-llm-security-guardrails
MIT

Last pushed

invariant-gateway
Nov 6, 2025
fast-llm-security-guardrails
Feb 3, 2026

Categories

invariant-gateway
AI Agents, Evaluation & Observability
fast-llm-security-guardrails
AI Agents, Evaluation & Observability

Trust and health

Days since push

invariant-gateway
310d
fast-llm-security-guardrails
222d

Open issues (now)

invariant-gateway
1
fast-llm-security-guardrails
0

Stars delta

invariant-gateway
+2 (30d)
fast-llm-security-guardrails
+1 (30d)

OSV dependency advisories

invariant-gateway
No lockfile (source not queried)
fast-llm-security-guardrails
Published findings

Full report

invariant-gateway
Trust report
fast-llm-security-guardrails
Trust report

Choose invariant-gateway if…

  • License: invariant-gateway is Apache-2.0, fast-llm-security-guardrails is MIT.
  • Tags unique to invariant-gateway: debugging, guardrails, llm, observability.
  • If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;

When NOT to use invariant-gateway

  • In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications;
  • For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;

Choose fast-llm-security-guardrails if…

  • License: fast-llm-security-guardrails is MIT, invariant-gateway is Apache-2.0.
  • Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-runtime, cx-agent.
  • Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.

When NOT to use fast-llm-security-guardrails

  • If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations.
  • For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.

Explore

Sources

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

GitHub stars on cards: invariant-gateway 80 · fast-llm-security-guardrails 155 (synced Sep 20, 2026).

Common questions

What is the difference between invariant-gateway and fast-llm-security-guardrails?
invariant-gateway: LLM proxy for observing and debugging AI agent activities. fast-llm-security-guardrails: The fastest Trust Layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose invariant-gateway over fast-llm-security-guardrails?
Choose invariant-gateway over fast-llm-security-guardrails when License: invariant-gateway is Apache-2.0, fast-llm-security-guardrails is MIT; Tags unique to invariant-gateway: debugging, guardrails, llm, observability; If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;.
When should I choose fast-llm-security-guardrails over invariant-gateway?
Choose fast-llm-security-guardrails over invariant-gateway when License: fast-llm-security-guardrails is MIT, invariant-gateway is Apache-2.0; Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-runtime, cx-agent; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.
When should I avoid invariant-gateway?
In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications; For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;
When should I avoid fast-llm-security-guardrails?
If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.
Is invariant-gateway or fast-llm-security-guardrails more popular on GitHub?
fast-llm-security-guardrails has more GitHub stars (155 vs 80). Stars measure visibility, not whether either tool fits your constraints.
Are invariant-gateway and fast-llm-security-guardrails open source?
Yes - both are open-source projects on GitHub (invariant-gateway: Apache-2.0, fast-llm-security-guardrails: MIT).
Where can I find alternatives to invariant-gateway or fast-llm-security-guardrails?
GraphCanon lists graph-backed alternatives at invariant-gateway alternatives and fast-llm-security-guardrails alternatives (invariant-gateway markdown twin, fast-llm-security-guardrails 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, invariant-gateway or fast-llm-security-guardrails?
invariant-gateway: Slowing. fast-llm-security-guardrails: Slowing. 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 invariant-gateway and fast-llm-security-guardrails?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: invariant-gateway trust report; fast-llm-security-guardrails trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.