Top 5 Onyx (Danswer) Alternatives (2026)

Onyx — formerly Danswer, a name plenty of evaluations still search for — is the open-source answer to enterprise AI: an MIT-licensed AI search and assistant platform with more than 40 connectors including Microsoft Teams, a model-agnostic architecture, and one genuinely radical promise. Run it on your own infrastructure and your data never leaves the building. Free if you self-host, $20 per user per month in the managed cloud. It markets itself as the GDPR-friendly, self-hostable Glean alternative — and for sovereignty-minded European buyers, that pitch lands hard. So why do so many of them end up searching for an Onyx alternative in 2026?

Because between the pitch and production stands a wall:

• Self-hosting is an engineering commitment, not a checkbox. Deploying an open-source stack, securing it, patching it, upgrading it, keeping it alive — that is real DevOps work, and it never stops. Most mid-sized IT teams cannot staff it. “Free if self-hosted” quietly prices in the most expensive resource you have: your engineers’ time.
• The cloud escape hatch undoes the story. Onyx’s managed cloud at $20 per user per month removes the operations burden — but the self-hosted sovereignty story was the reason Onyx made your shortlist in the first place.
• Search is where it ends. Onyx finds and answers. It does not act before you ask, and it builds no persistent memory of how your company works. And when the auditor calls, an MIT license does not pick up the phone: self-hosting hands you full sovereignty — and full responsibility, with no German-specific compliance support behind it.

Put differently: companies leaving Onyx are rarely disappointed in the code. They wanted the sovereignty outcome and discovered the operational price tag attached to it.

Here are the five alternatives worth shortlisting in 2026, each with its genuine strengths and honest limits. For the direct head-to-head, see amaiko vs Onyx.

1. amaiko — the sovereignty outcome, without the infrastructure

Be honest about what drew you to Onyx. It was almost certainly not the joy of running another stack — it was the outcome: company data under European law, out of US clouds, defensible in front of your data protection officer. amaiko delivers exactly that outcome — 100% German hosting and ISO 42001-compliant AI management, details on the security page — with zero infrastructure on your side. No cluster to deploy, no stack to patch, no upgrade runbook, no on-call rotation. Sovereignty becomes the vendor’s contractual job instead of your IT team’s permanent side project.

Then amaiko adds the things Onyx never attempts.

It is Teams-native. No separate search portal, no new web app, no rollout project: one Teams chat, where your team already works. You add it, you start typing, and onboarding is done — the adoption question that haunts every self-hosted deployment simply never comes up.

It builds a persistent corporate memory. Onyx indexes your documents; amaiko learns your company. Projects, customers, decisions, preferences — it keeps that knowledge across every conversation, so you never re-explain context. Where a search platform retrieves what your tools contain, amaiko accumulates what your organization knows, and every interaction makes the next one more useful.

That memory feeds a self-learning agent network: specialized AI agents for email, meetings, research and company systems that improve from how your organization actually operates — with state-of-the-art models underneath rather than a single fixed one.

And amaiko acts proactively. It does not wait for a query. It surfaces what needs your attention, prepares your day, and follows up on what would otherwise slip — the entire category of assistance that a search box, self-hosted or not, structurally cannot offer.

On integration, amaiko goes beyond indexing: it orchestrates all company-internal systems. SAP, your CRM, internal tools, industry software — if your business runs on it, amaiko can work with it and act inside it.

Pricing is a real number instead of a misleading zero: from €19.92 per user per month, billed annually — see pricing. Weigh that against “free” plus the ongoing engineering hours a self-hosted stack consumes, and the comparison usually stops being close.

One honest caveat: amaiko is not open source and not self-hostable. If your requirement is literally MIT-licensed code running on your own hardware — auditable line by line, on machines you own — amaiko does not offer that and will not pretend otherwise. Its bet is that what most mid-sized companies actually wanted from self-hosting was sovereignty and compliance, not server ownership.

Best for: Teams-centric mid-sized companies that wanted Onyx’s data-sovereignty story but cannot — or sensibly will not — staff the self-hosting commitment. You can book a demo to see it in your own tenant.

2. Glean — managed enterprise search, at enterprise prices

If what you wanted from Onyx was the search itself, fully managed, Glean is the platform Onyx explicitly positions itself against. It indexes more than 100 workplace tools — including a Teams connector — and for large organizations drowning in scattered knowledge, its enterprise search is genuinely powerful. No stack to run, no upgrades to schedule.

The trade is steep, though. Pricing starts at $50+ per user per month with enterprise-only commitments that run into six figures annually — the conversation often ends before a mid-sized pilot begins. And Glean runs on US cloud infrastructure, which puts the CLOUD Act squarely on your data protection officer’s desk. You escape Onyx’s ops burden by surrendering the entire sovereignty story you came for.

Full comparison: amaiko vs Glean.

3. Dust — the European agent platform

Dust answers the assistant question rather than the search question. The French platform — built by ex-OpenAI and Stripe founders, Sequoia-backed — lets you deploy department-level AI assistants connected to company data across Slack, Google Drive, Notion, Confluence and GitHub, with native Teams integration on top. The compliance posture is serious: a selectable EU hosting region, SOC 2, and zero data retention with model providers. Pro pricing lands around $29 per user per month.

The gaps: Dust assistants are built, then invoked. There is no persistent corporate memory that accumulates on its own and no proactive push — someone has to design each assistant, and someone has to ask it. And the EU hosting region is selectable, not the default; for a buyer who came from Onyx’s sovereignty pitch, selectable EU is not the same as German by design.

Full comparison: amaiko vs Dust.

4. meinGPT — the German platform with an on-premise option

Among the managed platforms, Munich-based meinGPT comes closest to the Onyx buyer’s instincts: hosting in Germany, ISO 27001 certification, data not used for model training — and on-premise deployment at the Enterprise tier, the nearest thing on this list to Onyx’s on-your-hardware promise without the open-source ops burden. The customer base is real — 100,000+ users across 250+ mid-sized companies — with multi-model access (GPT-5, Claude, Gemini and more) and, rare in this class, SAP and ERP connectors that matter to manufacturing-heavy Mittelstand businesses.

The limits: meinGPT is chat-first and reactive. Users pull information; nothing is pushed. Assistants require per-use-case configuration, and no persistent corporate memory accumulates on its own. There is no Teams-native experience — it is a separate web app. And pricing is quote-based, so budgeting starts with a sales call rather than a price list.

Full comparison: amaiko vs meinGPT.

5. Langdock — the EU enterprise workbench

Berlin-based Langdock holds the strongest enterprise references in the European market: over 7,000 companies, including Merck with 33,000 monthly active users. The platform is genuinely model-agnostic — 40+ models from GPT-5 to Claude to Gemini — with custom agents, mature workflow automation, and hosting in German and EU data centers. At enterprise scale (1,000+ seats), on-premise deployment is available — a sovereignty path for large organizations that, unlike Onyx, comes with a vendor behind it.

The limits: Langdock is a chat-and-agent layer. Every interaction is user-initiated — no proactive intelligence, no persistent corporate memory that builds on its own. There is no Teams-native presence; your team works in a separate app. And per-seat pricing of €25–99 per user per month compounds: a 100-person organization pays €2,500 a month before workflow add-ons.

Full comparison: amaiko vs Langdock.

How to choose

Match the tool to the problem that actually sent you looking:

• You wanted Onyx’s sovereignty but cannot staff the ops — and your company lives in Microsoft Teams: choose amaiko. The same compliance outcome — 100% German hosting, ISO 42001 — with zero infrastructure, plus persistent memory and proactive intelligence Onyx never attempts, from €19.92 per user per month.
• You wanted the enterprise search, fully managed, and you have an enterprise budget and US-cloud tolerance: Glean.
• You want to build department-level assistants with a serious EU-selectable compliance posture: Dust.
• You want German hosting from a managed vendor with a genuine on-premise option and SAP connectivity: meinGPT.
• You are enterprise-scale and want a model-agnostic AI workbench with EU hosting — and on-premise at 1,000+ seats: Langdock.

And in fairness to Onyx: if you have the engineering team and your requirement is genuinely MIT-licensed code on hardware you own — free, model-agnostic, 40+ connectors — Onyx remains the honest open-source option, and nothing managed replaces that. The real question is the one this list keeps asking: whether your IT team’s time is the currency you want to pay for sovereignty with — or whether sovereignty was always an outcome you could simply buy, hosted in Germany, with a contract behind it.