vendor · ai agents frameworks

NeMo Guardrails

github.comevidence retrieved Aug 8, 2026 – Sep 16, 2026view as JSON all ai agents frameworks entries

ThinFewer than 12 fields evidenced — this vendor discloses little, or we have read little of it

9 fields evidenced · 40 with no public information. Every value below links to the document it came from and the date we checked it.

4 of those are quoted but not yet interpreted: we hold the source sentence and the date we read it, but nobody has written the answer to the question yet. Those rows show the quote and say so rather than repeating it back as an answer. Why these exist

1 of those is flagged for review: our own check found language in the cited source that may address the field. An editor has not adjudicated it yet.

Trust gap

How this is scored

These scores are automated. A 1 or 2 counts how many fields this entry answers with a citation — not what those answers say. A 0 means every field for that dimension is recorded as undisclosed and none of the pages we captured mentions it. No one has scored this entry against the rubric yet.

Runtime governance

1/3 auto

Are scope, spend, and authority enforced while the agent runs?

Scored from 1 evidenced field(s): runtime_governance. Automated score; capped at 2 pending review.

Counts Runtime governance, each cited below.

Audit trail

unscored

Is there a tamper-evident record of what it actually did?

Compliance

unscored

Are compliance obligations attached per engagement?

Outcome settlement

unscored

Does payment depend on a verified result?

Insurance & indemnity

unscored

Can the deployment be insured, and is the customer indemnified?

Assurance

Insurance available: no public information
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Own liability cover: no public information
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Insurance carriers: no public information
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Coverage limits: no public information
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Indemnification: no public information
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Liability cap: no public information
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Audit trail: no public information
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Tamper-evident log: no public information
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Explainability: no public information
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Runtime governance: not yet interpreted
“Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more.”
github.com · checked Aug 8, 2026
Permission scopes: no public information
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Compliance certifications: no public information
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Regulatory alignment: no public information
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Outcome-based pricing: no public information
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Settlement mechanism: no public information
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Asset custody: no public information
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Dispute process: no public information
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SLA terms: no public information
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Evaluation coverage: no public information
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Self-reported performance: no public information
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Service type: open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems
“NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.”
github.com · checked Aug 8, 2026
Regulatory status: no public information
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Underwriting backing: not yet interpreted
“NVIDIA-NeMo / Guardrails Public”
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Client types: no public information
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Safety

Safety evaluations: An evaluation tool , i.e. nemoguardrails evaluate , with support for topical rails, fact-checking, moderation (jailbreak and output moderation) and hallucination.
“Evaluation Evaluating the safety of a LLM-based conversational application is a complex task and still an open research question. To support proper evaluation, the NeMo Guardrails library provides the following: An evaluation tool , i.e. nemoguardrails evaluate , with support for topical rails, fact-checking, moderation (jailbreak and output moderation) and hallucination.”
github.com · checked Aug 8, 2026
Red teaming: no public information
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Safety policy: not yet interpreted
“AI_POLICY.md”
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Usage restrictions: no public information
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Model or system card: no public information
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Incident reporting: no public information
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Third-party evaluations: no public information
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Data handling: not yet interpreted
“No user content is collected in the event payload. The payload does not include model names, API keys, endpoints, prompts, completions, token counts, per-request metrics, file paths, usernames, or IP addresses.”
github.com · checked Aug 8, 2026

Practicality

Pricing model: no public information
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Price point: no public information
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Availability: no public information
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Deployment options: no public information
Flagged for review — the source below contains language that may address this field. Not yet checked by an editor. How we check absences
github.com · checked Aug 8, 2026
Integrations: community models and third-party APIs
“integrations with community models and third-party APIs.”
github.com · checked Aug 8, 2026
Supported regions: no public information
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Support model: no public information
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Ecosystem

Protocols supported: no public information
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API access: expose and HTTP API for using them
“The server can load one or more configurations from the specified folder and expose and HTTP API for using them.”
github.com · checked Aug 8, 2026
Open source: Apache License, Version 2.0
“The NeMo Guardrails library is licensed under the Apache License, Version 2.0 .”
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Marketplace presence: no public information
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Impact

User base: no public information
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Deployment scale: no public information
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Target sectors: no public information
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High-risk domains: no public information
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Documented incidents: no public information
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Market recognition: no public information
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