Home/Compare/vigil-llm vs agent-guardrails-template

Comparison

vigil-llm vs agent-guardrails-template

Verdict

Pick vigil-llm if vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs; pick agent-guardrails-template if agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines.

Markdown twin · vigil-llm alternatives · agent-guardrails-template alternatives

GraphCanon updated 1w

vigil-llm logo

vigil-llm

deadbits/vigil-llm

491pushed Jan 31, 2024
vs
agent-guardrails-template logo

agent-guardrails-template

TheArchitectit/agent-guardrails-template

72pushed Jul 30, 2026

Trust & integrity

Signalvigil-llmagent-guardrails-template
Maintenance
Dormant (901d since push)
As of 4w · github_public_v1
Active (10d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 4w · github_public_v1
Not a fork · Personal account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

vigil-llm
Detect prompt injections and other risky inputs in LLMs
agent-guardrails-template
Template repository with AI agent guardrails and safety protocols

Stars

vigil-llm
491
agent-guardrails-template
72

Forks

vigil-llm
56
agent-guardrails-template
3

Open issues

vigil-llm
16
agent-guardrails-template
0

Language

vigil-llm
Python
agent-guardrails-template
Go

Adopt for

vigil-llm
Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.
agent-guardrails-template
agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines.

Persona

vigil-llm
-
agent-guardrails-template
-

Runtime

vigil-llm
-
agent-guardrails-template
-

License

vigil-llm
Apache-2.0
agent-guardrails-template
BSD-3-Clause

Last pushed

vigil-llm
Jan 31, 2024
agent-guardrails-template
Jul 30, 2026

Categories

vigil-llm
Evaluation & Observability
agent-guardrails-template
AI Agents, Evaluation & Observability

Trust and health

Maintenance

vigil-llm
Dormant (18%)
agent-guardrails-template
Active (82%)

Days since push

vigil-llm
901d
agent-guardrails-template
10d

Open issues (now)

vigil-llm
16
agent-guardrails-template
0

Full report

vigil-llm
Trust report
agent-guardrails-template
Trust report

Choose vigil-llm if…

  • vigil-llm is primarily Python; agent-guardrails-template is Go.
  • License: vigil-llm is Apache-2.0, agent-guardrails-template is BSD-3-Clause.
  • Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection.
  • When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.

When NOT to use vigil-llm

  • If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary.
  • For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.

Choose agent-guardrails-template if…

  • agent-guardrails-template is primarily Go; vigil-llm is Python.
  • License: agent-guardrails-template is BSD-3-Clause, vigil-llm is Apache-2.0.
  • Tags unique to agent-guardrails-template: ai-agents, claude, gemini, gpt.
  • Also covers AI Agents.
  • When developing an AI agent where safety and controlled operations are paramount for LLMs like Claude, GPT, or Gemini.

When NOT to use agent-guardrails-template

  • If your project does not require strict operational boundaries and focuses on open-ended exploration over controlled operation.
  • When working exclusively outside environments where LLMs like Claude, GPT, or Gemini are employed; the template may not cover unique scenarios.

Explore

Sources

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

GitHub stars on cards: vigil-llm 491 · agent-guardrails-template 72 (synced Jul 21, 2026).

Common questions

What is the difference between vigil-llm and agent-guardrails-template?
vigil-llm: Detect prompt injections and other risky inputs in LLMs. agent-guardrails-template: Template repository with AI agent guardrails and safety protocols. See the comparison table for live GitHub stats and shared categories.
When should I choose vigil-llm over agent-guardrails-template?
Choose vigil-llm over agent-guardrails-template when vigil-llm is primarily Python; agent-guardrails-template is Go; License: vigil-llm is Apache-2.0, agent-guardrails-template is BSD-3-Clause; Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection; When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
When should I choose agent-guardrails-template over vigil-llm?
Choose agent-guardrails-template over vigil-llm when agent-guardrails-template is primarily Go; vigil-llm is Python; License: agent-guardrails-template is BSD-3-Clause, vigil-llm is Apache-2.0; Tags unique to agent-guardrails-template: ai-agents, claude, gemini, gpt; Also covers AI Agents; When developing an AI agent where safety and controlled operations are paramount for LLMs like Claude, GPT, or Gemini.
When should I avoid vigil-llm?
If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
When should I avoid agent-guardrails-template?
If your project does not require strict operational boundaries and focuses on open-ended exploration over controlled operation. When working exclusively outside environments where LLMs like Claude, GPT, or Gemini are employed; the template may not cover unique scenarios.
Is vigil-llm or agent-guardrails-template more popular on GitHub?
vigil-llm has more GitHub stars (491 vs 72). Stars measure visibility, not whether either tool fits your constraints.
Are vigil-llm and agent-guardrails-template open source?
Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, agent-guardrails-template: BSD-3-Clause).
Where can I find alternatives to vigil-llm or agent-guardrails-template?
GraphCanon lists graph-backed alternatives at vigil-llm alternatives and agent-guardrails-template alternatives (vigil-llm markdown twin, agent-guardrails-template 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, vigil-llm or agent-guardrails-template?
vigil-llm: Dormant. agent-guardrails-template: 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 vigil-llm and agent-guardrails-template?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; agent-guardrails-template trust report.

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