ComplyEdge vs Foglamp

ComplyEdge and Foglamp are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

ComplyEdge

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.

Foglamp

Foglamp is an observability layer built for production AI agents: two lines of SDK integration wrap every `generateText` and `streamText` call and surface cost, latency, distributed traces, per-agent spend, and output quality in one place. The instrumentation is designed specifically around the Vercel AI SDK, so teams already on that stack see immediate coverage without rethinking their pipeline. Evals and alerts let you catch output regressions before users file support tickets. The ceiling appears when your stack moves outside Vercel AI SDK conventions — the docs describe no native integrations for other frameworks, and teams on LangChain or custom agent loops will need to assess how much of the trace fidelity carries over.

Attribute	ComplyEdge	Foglamp
Pricing	Paid	Paid
Price	—	$49/month
Free trial	No	No
Open source	Yes	Yes
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	Python	—
Pros	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.	Two-line SDK instrumentation wraps every Vercel AI SDK call automatically, so you get cost and trace coverage without rewriting your agent logic or adding per-call boilerplate. Per-agent spend breakdown attributes token costs to individual agents or orchestrator steps, which means a cost spike is diagnosable in the dashboard rather than requiring a manual log scrape across your pipeline. Distributed traces across the full call flow let you see exactly which step added latency, so performance regressions don't require you to reproduce the issue locally. Output quality evals with configurable alerts catch answer regressions before users encounter them — the failure mode Foglamp exists to prevent is a customer complaint thread, not a monitoring page. API access is available, so teams that want to pull observability data into existing dashboards or incident workflows are not locked into the Foglamp UI.
Cons	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.	The SDK integration is documented specifically around `generateText` and `streamText` in the Vercel AI SDK — teams running LangChain, LlamaIndex, or custom agent frameworks get no native wrapping, and at that point they are either writing manual instrumentation or evaluating a framework-agnostic alternative like Langfuse or Helicone. All telemetry routes through Foglamp's cloud infrastructure; self-hosting is not offered, which means any team with strict data-residency or compliance requirements is blocked at the architecture stage before the first line of instrumentation is written. Evals and alert thresholds require upfront configuration to return signal — teams that ship without defining quality criteria first get cost and latency data but no regression detection, which is the half of the value proposition that justifies the instrumentation cost.

Bottom line

ComplyEdge and Foglamp are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between ComplyEdge and Foglamp?

ComplyEdge is Paid and open source, while Foglamp is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is ComplyEdge better than Foglamp?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.