Comparison
promptguard vs fast-llm-security-guardrails
Verdict
Pick promptguard if promptGuard audits prompts for AI agents to ensure safe code generation; 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 · promptguard alternatives · fast-llm-security-guardrails alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | promptguard | fast-llm-security-guardrails |
|---|---|---|
| Maintenance | Steady (51d since push) As of Sep 12, 2026 · github_public_v1 | Slowing (222d since push) As of Sep 14, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 12, 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
- promptguard
- Audits prompts as behavioral contracts for AI agents.
- fast-llm-security-guardrails
- The fastest Trust Layer for AI Agents
Stars
- promptguard
- 86
- fast-llm-security-guardrails
- 155
Forks
- promptguard
- 1
- fast-llm-security-guardrails
- 21
Open issues
- promptguard
- 0
- fast-llm-security-guardrails
- 0
Language
- promptguard
- Python
- fast-llm-security-guardrails
- Python
Adopt for
- promptguard
- PromptGuard audits prompts for AI agents to ensure safe code generation.
- 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
- promptguard
- -
- fast-llm-security-guardrails
- -
Runtime
- promptguard
- -
- fast-llm-security-guardrails
- -
License
- promptguard
- MIT
- fast-llm-security-guardrails
- MIT
Last pushed
- promptguard
- Jul 22, 2026
- fast-llm-security-guardrails
- Feb 3, 2026
Categories
- promptguard
- AI Agents, Evaluation & Observability
- fast-llm-security-guardrails
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- promptguard
- Steady (60%)
- fast-llm-security-guardrails
- Slowing (36%)
Days since push
- promptguard
- 51d
- fast-llm-security-guardrails
- 222d
Stars delta
- promptguard
- +5 (30d)
- fast-llm-security-guardrails
- +1 (30d)
Owner type
- promptguard
- User
- fast-llm-security-guardrails
- Organization
OSV dependency advisories
- promptguard
- No lockfile (source not queried)
- fast-llm-security-guardrails
- Published findings
Full report
- promptguard
- Trust report
- fast-llm-security-guardrails
- Trust report
Shared compatibility
- Python · promptguard: Python runtime · fast-llm-security-guardrails: Python runtime
Choose promptguard if…
- Tags unique to promptguard: audit, prompt-engineering, safety.
- When developing AI agents that generate code and need strict adherence to safety standards
- More recently updated (last pushed Jul 22, 2026).
When NOT to use promptguard
- If your project does not involve prompting AI for code generation or execution
- In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis
Choose fast-llm-security-guardrails if…
- 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.
- More GitHub stars (155 vs 86) - visibility, not fit.
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 (mturac/promptguard) · observed Sep 20, 2026
- GitHub forks (mturac/promptguard) · observed Sep 20, 2026
- Last push (mturac/promptguard) · observed Jul 22, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ZenGuard-AI/fast-llm-security-guardrails) · observed Sep 20, 2026
- GitHub forks (ZenGuard-AI/fast-llm-security-guardrails) · observed Sep 20, 2026
- Last push (ZenGuard-AI/fast-llm-security-guardrails) · observed Feb 3, 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 on cards: promptguard 86 · fast-llm-security-guardrails 155 (synced Sep 20, 2026).
Common questions
- What is the difference between promptguard and fast-llm-security-guardrails?
- promptguard: Audits prompts as behavioral contracts for AI agents.. 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 promptguard over fast-llm-security-guardrails?
- Choose promptguard over fast-llm-security-guardrails when Tags unique to promptguard: audit, prompt-engineering, safety; When developing AI agents that generate code and need strict adherence to safety standards; More recently updated (last pushed Jul 22, 2026).
- When should I choose fast-llm-security-guardrails over promptguard?
- Choose fast-llm-security-guardrails over promptguard when 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; More GitHub stars (155 vs 86) - visibility, not fit.
- When should I avoid promptguard?
- If your project does not involve prompting AI for code generation or execution In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis
- 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 promptguard or fast-llm-security-guardrails more popular on GitHub?
- fast-llm-security-guardrails has more GitHub stars (155 vs 86). Stars measure visibility, not whether either tool fits your constraints.
- Are promptguard and fast-llm-security-guardrails open source?
- Yes - both are open-source projects on GitHub (promptguard: MIT, fast-llm-security-guardrails: MIT).
- Where can I find alternatives to promptguard or fast-llm-security-guardrails?
- GraphCanon lists graph-backed alternatives at promptguard alternatives and fast-llm-security-guardrails alternatives (promptguard 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, promptguard or fast-llm-security-guardrails?
- promptguard: Steady. 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 promptguard and fast-llm-security-guardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptguard trust report; fast-llm-security-guardrails trust report.