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Open Source

QWED

AISecOps (AI Security Operations) framework for deterministic verification of AI systems.

Our verdict

Not reviewed yet

We have not reviewed QWED yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About QWED

QWED is an open-source Python framework for deterministic verification of AI systems, focusing on LLM outputs. It uses math, logic, and symbolic execution to create an auditable trust boundary for agentic AI, enabling security operations teams to verify rather than generate.

Best for

Security engineers and researchers needing formal verification of AI system outputs

Use cases

  • Auditing LLM outputs for compliance with formal specifications
  • Verifying agentic AI decisions in security-critical workflows
  • Building deterministic guardrails for AI-powered automation

Notes

57 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

  • Provides mathematically rigorous verification, not probabilistic checks
  • Open-source with a community-driven development model
  • Creates auditable trust boundaries for agentic systems

Cons

  • Limited to deterministic verification, not suitable for all AI tasks
  • Small community (57 stars) may mean fewer integrations or support
  • Requires understanding of symbolic execution and formal methods

Key facts

What we have checked

Days since the last commit
0
Checked GitHub
GitHub forks
15
Checked GitHub
GitHub stars
64
Checked GitHub
Open issues
60
Checked GitHub
Releases in the last 90 days
8
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How QWED is growing

GitHub stars

57 to 64

stars. 12 July 2026 to 7 Nov 2026, 4 readings.

Source: GitHub. Checked .

Health and security

Is QWED looked after, and what do its setup files show

Health score

100 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases15 of 158 releases in 90 days
Issue repliesNot countedThe latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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