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ComplyEdge
Pricing
- Model
- Free
Summary
When a regulator asks why your AI blocked a request, a probability score is not an answer — a rule ID, article citation, and timestamp is.
ComplyEdge is an open-source compliance engine that runs on every production request your AI agent processes, enforcing EU AI Act Article 5 prohibitions and emitting structured audit trails instead of opaque scores. The decorator-based Python SDK wraps agent entry points with a single annotation, so enforcement is tied to the code path rather than bolted on downstream. TrustLint, the companion CLI tool, moves the same rule set into CI/CD so violations surface before deployment. The ceiling appears when you need jurisdictions beyond EU or rule sets beyond Article 5 — the repo shows EU coverage, and teams with broader regulatory scope will find themselves extending the rule library themselves. With three GitHub stars and zero open issues at time of writing, production battle-testing is still accumulating.
Bottom line: Deploy this when you need a defensible, citable audit trail for EU AI Act Article 5 compliance in a Python agent; plan to build your own rule extensions the moment your compliance scope reaches GDPR, CCPA, or anything outside Article 5.
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Pros
Sign in to edit- Explicit rule ID and article citation on every blocked request, so your audit trail holds up to regulatory scrutiny rather than requiring post-hoc interpretation of a score.
- Decorator-based enforcement wraps agent functions at the code level, which means compliance logic travels with the function through refactors and deployments rather than depending on a separate sidecar being configured correctly.
- TrustLint CLI enables offline compliance scanning in CI/CD pipelines, so Article 5 violations are caught before deployment rather than discovered when a production request gets blocked.
- Apache-2.0 license and self-hosted execution mean no request data transits a third-party service, which removes a class of data-handling objections from security reviews in regulated industries.
- Provider and rules directories are structured as separate extension points, so teams can add custom rule files without forking the core engine — though that means writing and maintaining rule logic in-house.
Cons
Sign in to edit- Rule coverage confirmed in the repo is EU AI Act Article 5. Any team with compliance obligations that extend to GDPR, CCPA, the EU AI Act's Articles 6-51, or sector-specific frameworks has to author and maintain the additional rule files themselves — at which point ComplyEdge becomes rule infrastructure, not a compliance solution.
- The Python SDK is the only documented language binding. Teams running agents in Node.js, Go, Java, or any other runtime have no supported integration path and would need to implement REST or subprocess wrappers around the engine, adding a maintenance layer with no upstream support.
- With three GitHub stars and no community-contributed rules or issues in the public repo, the rule library reflects the maintainer's interpretation of Article 5 rather than one tested across adversarial inputs from a broad user base. Teams in high-stakes regulatory environments will want independent legal review of the rule definitions before relying on them in filings — and any team that needs a vendor-supported, contractually backed compliance guarantee will move to a commercial compliance platform instead.
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About
- Platforms
- Python
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-18T03:43:52.016Z
Best For
Who it's for
- Production AI agent deployments requiring regulatory compliance
- Teams needing explicit citations for blocked requests
- Offline linting in development pipelines
What it does well
- Enforcing EU AI Act Article 5 prohibitions on AI agent prompts and outputs
- Logging audit trails with rule IDs and timestamps for regulatory reporting
- CI/CD scanning of text for compliance violations using TrustLint
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Frequently Asked Questions
- Is ComplyEdge free?
- Yes — ComplyEdge is fully free to use. There is no paid tier.
- Is ComplyEdge open source?
- Yes. ComplyEdge is open source.
- Does ComplyEdge have an API?
- Yes. ComplyEdge exposes a developer API. See the official documentation at https://github.com/complyedge/complyedge for details.
- Can I self-host ComplyEdge?
- Yes. ComplyEdge supports self-hosting on your own infrastructure.
- What platforms does ComplyEdge support?
- ComplyEdge is available on: Python.
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Curated lists that include this category
Compliance tools for AI agents usually live outside the request path — they scan logs after the fact, produce confidence scores, and leave you explaining to a regulator why a number like 0.87 constitutes a policy decision. ComplyEdge sits inside the request path instead. The Python SDK exposes a `@compliance_check` decorator that wraps agent functions; every call is evaluated against a rule engine, and blocks return a structured response citing the specific Article 5 provision, a rule ID, an input hash, and a timestamp. The audit trail is the output, not an afterthought.
The differentiating design choice is explicit citation over probabilistic scoring. Where most compliance layers return a risk score, ComplyEdge returns `Article 5(1)(a), rule rego-art5-1a-001` — the kind of reference a legal team can put in a regulatory filing. The vendor positions this directly against the GPAI fine timeline (August 2, 2026 per the repo), framing the audit trail as the compliance artifact rather than a supporting data point.
TrustLint, shipped as a separate pip package under `packages/trustlint`, brings the same rule evaluation into offline development pipelines. Teams can run compliance scans in CI before any code reaches a production agent, catching Article 5 violations at the diff stage rather than in a live request. The self-hosted, Apache-2.0-licensed architecture means no data leaves your infrastructure — a requirement for many regulated environments.
The documented scope is EU jurisdiction and Article 5 enforcement. The repo structure shows `rules/`, `providers/`, and `sdks/python/` directories, but the scraped page does not confirm pre-built rule sets for other regulatory frameworks. Teams with obligations beyond EU AI Act Article 5 — GDPR data minimization, sector-specific financial rules, US state AI laws — will need to author and maintain their own rule files. Non-Python agent stacks have no documented SDK path at time of publication.