Comparison
anti-lie vs autoguardrails
Verdict
Pick anti-lie if anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks; pick autoguardrails if autoguardrails is an evaluation and development framework for AI policy creation and review. It enables the iterative adjustment and testing of guardrail policies in alignment research through a controlled workflow.
Markdown twin · anti-lie alternatives · autoguardrails alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | anti-lie | autoguardrails |
|---|---|---|
| Maintenance | Slowing (121d since push) As of Sep 9, 2026 · github_public_v1 | Active (11d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 9, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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 | Published findings As of Sep 20, 2026 · openssf-scorecard@v1 |
Tagline
- anti-lie
- An LLM Claim Auditing Layer with truth gradients for verifying factual claims
- autoguardrails
- Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation
Stars
- anti-lie
- 89
- autoguardrails
- 130
Forks
- anti-lie
- 6
- autoguardrails
- 36
Open issues
- anti-lie
- 0
- autoguardrails
- 2
Language
- anti-lie
- Python
- autoguardrails
- Python
Adopt for
- anti-lie
- Anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks.
- autoguardrails
- Autoguardrails is an evaluation and development framework for AI policy creation and review. It enables the iterative adjustment and testing of guardrail policies in alignment research through a controlled workflow.
Persona
- anti-lie
- -
- autoguardrails
- -
Runtime
- anti-lie
- -
- autoguardrails
- -
License
- anti-lie
- MIT License, allows easy integration, inspection, forks, embeds, and improvements of the tool in various agent runtimes and audit systems.
- autoguardrails
- Apache-2.0
Last pushed
- anti-lie
- May 10, 2026
- autoguardrails
- Sep 1, 2026
Categories
- anti-lie
- Evaluation & Observability
- autoguardrails
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- anti-lie
- Slowing (36%)
- autoguardrails
- Active (82%)
Days since push
- anti-lie
- 121d
- autoguardrails
- 11d
Open issues (now)
- anti-lie
- 0
- autoguardrails
- 2
Stars delta
- anti-lie
- 0 (30d)
- autoguardrails
- +2 (30d)
Owner type
- anti-lie
- User
- autoguardrails
- Organization
OpenSSF Scorecard
- anti-lie
- Not queried
- autoguardrails
- Published findings
Full report
- anti-lie
- Trust report
- autoguardrails
- Trust report
Shared compatibility
- Python · anti-lie: Python runtime · autoguardrails: Python runtime
Choose anti-lie if…
- License: anti-lie is Other, autoguardrails is Apache-2.0.
- Pricing: The software is free (open source). However, additional compliance documents may incur costs or delays..
- Tags unique to anti-lie: agent-skills, anti-lie, audit, factuality.
- When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2
When NOT to use anti-lie
- When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS)
- If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker
Choose autoguardrails if…
- License: autoguardrails is Apache-2.0, anti-lie is Other.
- Requirements: Requires Python 3.10 or higher.; No third-party runtimes; it is built completely on the standard Python library..
- Tags unique to autoguardrails: alignment, autoresearch, content-moderation, evaluation.
- Also covers LLM Frameworks.
- When you are conducting alignment research that requires systematic iteration on LLM safeguard policies.
When NOT to use autoguardrails
- Autoguardrails may not suit needs requiring real-time or dynamic policy adjustments outside its autoresearch workflow.
- Avoid using Autoguardrails if you cannot accept offline operation as it is built on the Python standard library and runs without third-party runtime dependencies.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lc198707/anti-lie) · observed Sep 20, 2026
- GitHub forks (lc198707/anti-lie) · observed Sep 20, 2026
- Last push (lc198707/anti-lie) · observed May 10, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (SantanderAI/autoguardrails) · observed Sep 20, 2026
- GitHub forks (SantanderAI/autoguardrails) · observed Sep 20, 2026
- Last push (SantanderAI/autoguardrails) · observed Sep 1, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anti-lie 89 · autoguardrails 130 (synced Sep 20, 2026).
Common questions
- What is the difference between anti-lie and autoguardrails?
- anti-lie: An LLM Claim Auditing Layer with truth gradients for verifying factual claims. autoguardrails: Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation. See the comparison table for live GitHub stats and shared categories.
- When should I choose anti-lie over autoguardrails?
- Choose anti-lie over autoguardrails when License: anti-lie is Other, autoguardrails is Apache-2.0; Pricing: The software is free (open source). However, additional compliance documents may incur costs or delays.; Tags unique to anti-lie: agent-skills, anti-lie, audit, factuality; When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2.
- When should I choose autoguardrails over anti-lie?
- Choose autoguardrails over anti-lie when License: autoguardrails is Apache-2.0, anti-lie is Other; Requirements: Requires Python 3.10 or higher.; No third-party runtimes; it is built completely on the standard Python library.; Tags unique to autoguardrails: alignment, autoresearch, content-moderation, evaluation; Also covers LLM Frameworks; When you are conducting alignment research that requires systematic iteration on LLM safeguard policies.
- When should I avoid anti-lie?
- When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS) If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker
- When should I avoid autoguardrails?
- Autoguardrails may not suit needs requiring real-time or dynamic policy adjustments outside its autoresearch workflow. Avoid using Autoguardrails if you cannot accept offline operation as it is built on the Python standard library and runs without third-party runtime dependencies.
- Is anti-lie or autoguardrails more popular on GitHub?
- autoguardrails has more GitHub stars (130 vs 89). Stars measure visibility, not whether either tool fits your constraints.
- Are anti-lie and autoguardrails open source?
- Yes - both are open-source projects on GitHub (anti-lie: Other, autoguardrails: Apache-2.0).
- Where can I find alternatives to anti-lie or autoguardrails?
- GraphCanon lists graph-backed alternatives at anti-lie alternatives and autoguardrails alternatives (anti-lie markdown twin, autoguardrails 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, anti-lie or autoguardrails?
- anti-lie: Slowing. autoguardrails: 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 anti-lie and autoguardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anti-lie trust report; autoguardrails trust report.