Comparison
autoguardrails vs agentflow
Verdict
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; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · autoguardrails alternatives · agentflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | autoguardrails | agentflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1064d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- autoguardrails
- Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- autoguardrails
- 124
- agentflow
- 321
Forks
- autoguardrails
- 35
- agentflow
- 27
Open issues
- autoguardrails
- 3
- agentflow
- 13
Language
- autoguardrails
- Python
- agentflow
- Python
Adopt for
- 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.
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- autoguardrails
- -
- agentflow
- -
Runtime
- autoguardrails
- -
- agentflow
- -
License
- autoguardrails
- Apache-2.0
- agentflow
- MIT
Last pushed
- autoguardrails
- Jul 15, 2026
- agentflow
- Aug 11, 2023
Categories
- autoguardrails
- Evaluation & Observability, LLM Frameworks
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- autoguardrails
- Very active (96%)
- agentflow
- Dormant (18%)
Days since push
- autoguardrails
- 0d
- agentflow
- 1064d
Open issues (now)
- autoguardrails
- 3
- agentflow
- 13
Owner type
- autoguardrails
- Organization
- agentflow
- User
Full report
- autoguardrails
- Trust report
- agentflow
- Trust report
Choose autoguardrails if…
- License: autoguardrails is Apache-2.0, agentflow is MIT.
- Requirements: Requires Python 3.10 or higher.; No third-party runtimes; it is built completely on the standard Python library..
- Tags unique to autoguardrails: ai-safety, alignment, autoresearch, content-moderation.
- Also covers Evaluation & Observability.
- 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.
Choose agentflow if…
- License: agentflow is MIT, autoguardrails is Apache-2.0.
- Tags unique to agentflow: json, large-language-models, python, workflow management.
- Also covers AI Agents.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs
When NOT to use agentflow
- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (SantanderAI/autoguardrails) · observed Jul 15, 2026
- GitHub forks (SantanderAI/autoguardrails) · observed Jul 15, 2026
- Last push (SantanderAI/autoguardrails) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (simonmesmith/agentflow) · observed Jul 11, 2026
- GitHub forks (simonmesmith/agentflow) · observed Jul 11, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoguardrails 124 · agentflow 321 (synced Jul 15, 2026).
Common questions
- What is the difference between autoguardrails and agentflow?
- autoguardrails: Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoguardrails over agentflow?
- Choose autoguardrails over agentflow when License: autoguardrails is Apache-2.0, agentflow is MIT; Requirements: Requires Python 3.10 or higher.; No third-party runtimes; it is built completely on the standard Python library.; Tags unique to autoguardrails: ai-safety, alignment, autoresearch, content-moderation; Also covers Evaluation & Observability; When you are conducting alignment research that requires systematic iteration on LLM safeguard policies.
- When should I choose agentflow over autoguardrails?
- Choose agentflow over autoguardrails when License: agentflow is MIT, autoguardrails is Apache-2.0; Tags unique to agentflow: json, large-language-models, python, workflow management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- 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.
- When should I avoid agentflow?
- Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
- Is autoguardrails or agentflow more popular on GitHub?
- agentflow has more GitHub stars (321 vs 124). Stars measure visibility, not whether either tool fits your constraints.
- Are autoguardrails and agentflow open source?
- Yes - both are open-source projects on GitHub (autoguardrails: Apache-2.0, agentflow: MIT).
- Where can I find alternatives to autoguardrails or agentflow?
- GraphCanon lists graph-backed alternatives at autoguardrails alternatives and agentflow alternatives (autoguardrails markdown twin, agentflow 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, autoguardrails or agentflow?
- autoguardrails: Very active. agentflow: Dormant. 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 autoguardrails and agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoguardrails trust report; agentflow trust report.