Skip to main content
AIDiveForge AIDiveForge

Aegitox vs Rampart

Bottom line

Aegitox has a free plan plus paid upgrades, while Rampart is free. Rampart is open source and Aegitox is not. You can run Rampart on your own machine or server; Aegitox is hosted by the vendor.

Which one should you try?

Aegitox

Freemium

Best for Large Discord guilds needing sub-12ms moderation

Visit Aegitox See full review

Rampart

Free

Best for Developers building privacy-preserving AI interfaces

Visit Rampart See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Aegitox

Aegitox

Aegitox intercepts Discord messages before they are read, runs them through a dual MiniLM-L6-v2 semantic pipeline locally, and replaces hostile content with target-aware de-escalation placeholders in 2–12ms — bypassing cloud API round-trips entirely. The free tier covers real-time toxicity interception and raid defense. Automated karma-based penalties, incident reports, and the one-click DM appeal system that routes staff review are paid-only features. The appeal system is the architectural detail that matters most for enterprise use: the bot acts autonomously, but a human signs off on the final penalty — so you are not handing discipline entirely to a model. The system has no API and no self-hosted option, so teams that need on-premise deployment or want to pipe moderation signals into their own data stack will hit a hard wall.

Rampart

Rampart

Rampart runs a two-layer pipeline entirely in the browser: a 14.7 MB ONNX token-classification model from Hugging Face combined with a deterministic recognizer layer that catches what the model misses. Nothing leaves the client unredacted — the architecture makes server-side PII exposure structurally impossible, not just policy-dependent. The npm package ships as a complete, reproducible artifact, so your redaction behavior is auditable and consistent across builds. The ceiling arrives when your entity types fall outside what the bundled model was trained to recognize — at that point you are retraining or replacing the model, not tweaking a config. Teams needing real-time redaction across high-volume server-side pipelines will hit the browser-only constraint immediately.

AttributeAegitoxRampart
PricingFreemiumFree
Price$14.99/mo—
Pricing checkedOct 20, 2026Not checked yet
Free trialNot statedNot stated
Open sourceNoYes
Has APINoNo
Self-hosted optionNoYes
PlatformsDiscordBrowser, Node.js
Pros
  • Dual MiniLM-L6-v2 semantic pipeline runs locally with no cloud API call during inference, so moderation decisions are not blocked by external API latency or outages.
  • Unicode and markdown evasion detection via mathematical intent mapping rather than character matching, which means the filter catches obfuscated content that bypasses every regex-based AutoMod configuration.
  • Target-aware placeholder replacement (40 stubs per threat category, 120 total) substitutes hostile content with de-escalation text matched to the specific threat vector — so the message thread continues without a visible gap or a bot warning banner.
  • Karma-based automated penalty engine with a built-in DM appeal system that routes to staff for final review, which means admins get autonomous enforcement without fully removing human judgment from the discipline loop.
  • Free tier includes the core AI interceptor and raid defense with no keyword list to maintain, so a guild can move from manual moderation to AI interception without any ongoing filter upkeep.
  • Client-side ONNX inference means PII never leaves the browser unredacted, so a misconfigured server filter or a mid-request failure cannot expose raw user text to your LLM provider.
  • Defense-in-depth pipeline — model layer plus deterministic recognizer — so structured entities like emails and phone numbers are caught even when the token classifier is uncertain, reducing the false-negative surface area compared to single-pass approaches.
  • Ships as a versioned npm package with an eval suite and bundled model weights, so redaction behavior is reproducible across builds and auditable by commit — which matters when a compliance reviewer asks what changed between releases.
  • Open-source with MIT or equivalent license (per the repository), so your legal team can read the full implementation rather than trusting a vendor's privacy attestation on a black-box API.
  • Hugging Face model loading with an in-repository fallback, so air-gapped or reproducibility-sensitive deployments do not depend on an external CDN staying up.
Cons
  • No API is exposed, so teams that want to pipe moderation events, karma scores, or incident data into an external dashboard, SIEM, or data warehouse cannot — the data stays inside the Aegitox system and there is no documented export path.
  • Self-hosted deployment is not available, which means any organization with a compliance requirement to keep message content on-premise — legal, healthcare, or enterprise security teams — cannot use this tool and will need to evaluate self-hostable alternatives instead.
  • The automated penalty engine and appeal workflow are paid-only features, so guilds that deploy the free tier and hit a raiding event get interception but no automated disciplinary escalation — moderators must handle timeouts and bans manually until they upgrade.
  • System prompt customization for the replacement text layer is a paid-only feature, so free-tier communities get the default placeholder pool regardless of tone or community norms — a formal professional server and a casual gaming server get the same de-escalation language.
  • The pipeline is architected for browser execution — teams running redaction server-side in Node.js, Python, or a backend compliance layer have no supported path and need a different tool entirely.
  • The bundled model covers the entity types it was trained on; when your domain introduces entity patterns outside that distribution — internal employee IDs, proprietary product codes, jurisdiction-specific ID formats — the model does not adapt without retraining, and the deterministic layer only catches patterns explicitly coded into it.
  • At 14.7 MB, the ONNX model adds a non-trivial initial load cost in browser contexts; applications targeting low-bandwidth users or requiring sub-second first-interaction readiness need to measure this against their performance budget before committing.
  • No API, no hosted option, and no server-side SDK means teams that want managed PII redaction with SLA guarantees or audit logging infrastructure will switch to a commercial data-loss-prevention service — Rampart's local-first design is exactly what those teams cannot use.

Made up your mind?

Aegitox

Freemium

Best for Large Discord guilds needing sub-12ms moderation

Visit Aegitox See full review

Rampart

Free

Best for Developers building privacy-preserving AI interfaces

Visit Rampart See full review

Related comparisons

Free trials & curated lists

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

Browse tools · Affiliate Disclosure · Privacy · Cookies · · Email Policy · Terms · DMCA