---
title: "vigil-llm vs agent-guardrails-template"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/deadbits-vigil-llm-vs-thearchitectit-agent-guardrails-template"
tools: ["deadbits-vigil-llm", "thearchitectit-agent-guardrails-template"]
---

# vigil-llm vs agent-guardrails-template

*GraphCanon updated Aug 21, 2026*

## 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.

[vigil-llm](https://vigil.deadbits.ai/) reports 496 GitHub stars, 56 forks, and 16 open issues, last pushed Jan 31, 2024. [agent-guardrails-template](https://github.com/TheArchitectit/agent-guardrails-template) has 72 stars, 3 forks, and 0 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [vigil-llm's repository](https://github.com/deadbits/vigil-llm) and [agent-guardrails-template's repository](https://github.com/TheArchitectit/agent-guardrails-template).

| | [vigil-llm](/tools/deadbits-vigil-llm.md) | [agent-guardrails-template](/tools/thearchitectit-agent-guardrails-template.md) |
| --- | --- | --- |
| Tagline | Detect prompt injections and other risky inputs in LLMs | Template repository with AI agent guardrails and safety protocols |
| Stars | 496 | 72 |
| Forks | 56 | 3 |
| Open issues | 16 | 0 |
| Language | Python | Go |
| Adopt for | Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs. | agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | BSD-3-Clause |
| Categories | Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [vigil-llm](/tools/deadbits-vigil-llm.md) | [agent-guardrails-template](/tools/thearchitectit-agent-guardrails-template.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Active (82%) |
| Days since push | 932d | 10d |
| Open issues (now) | 16 | 0 |
| Stars delta | +5 (30d) | Unknown |
| Open issues delta | 0 (30d) | Unknown |
| Full report | [trust report](/tools/deadbits-vigil-llm/trust.md) | [trust report](/tools/thearchitectit-agent-guardrails-template/trust.md) |

## Decision facts: vigil-llm

- **Adopt for:** Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.

## Decision facts: agent-guardrails-template

- **Adopt for:** agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines.

## Choose when

### 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.

### 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 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 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.

## 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 (496 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](/tools/deadbits-vigil-llm/alternatives) and [agent-guardrails-template alternatives](/tools/thearchitectit-agent-guardrails-template/alternatives) ([vigil-llm markdown twin](/tools/deadbits-vigil-llm/alternatives.md), [agent-guardrails-template markdown twin](/tools/thearchitectit-agent-guardrails-template/alternatives.md)), 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](/compare/deadbits-vigil-llm-vs-thearchitectit-agent-guardrails-template.md) 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](/tools/deadbits-vigil-llm/trust); [agent-guardrails-template trust report](/tools/thearchitectit-agent-guardrails-template/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=deadbits-vigil-llm`](/api/graphcanon/graph?tool=deadbits-vigil-llm)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_