The independent context layer
for the AI-native company.
Backed by world-class AI leaders
A self-maintaining context repository
Capture the status quo
Centrally store company context as structured files, folders, and references.
Keep it up-to-date
Let your context repository evolve as company knowledge changes.
Expose your context to AI
Make the right company context available to every AI agent.
Company chats
Give your chats the context they need to answer reliably.
Coding agents
Help coding agents understand the business side.
Workflow builders
Use company context inside automations and operations.
Support agents
Power customer-facing agents with governed and up-to-date context.
Code
Use Qontext as the context layer inside your own applications.
View documentation
Everything AI needs to understand your company
Centralized context repository
Store company context in one place – as structured files, folders, skills, and references.
Context enrichments
Enrich your context with knowledge from your connected sources.
Continuous updates
Keep context fresh as company knowledge changes.
Change reviews
Review suggested changes before they become part of your context repository.
User permissions
Control which users and teams can view, review, and edit.
Access controls
Control which tools and agents can read and edit what.
Retrieval logs
Review how tools and agents access and retrieve context.
Version history
Track how your context changes over time.
Built for agents and AI-native teams
API
Build context-aware products and internal tools on top of Qontext.
MCP
Connect Qontext to all AI clients that support MCP.
CLI
Install, sync, and manage context from the command line.
Operations
Use familiar operations like ls, cat, grep, find, and hybrid search.
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Powering use cases across teams
Used by teams that turn AI into operating leverage
Context fragmentation is one of the toughest infrastructure problems in AI today, and Qontext is solving it at scale.
Jan Oberhauser
CEO & Founder, n8n
Agents and workflows on all platforms (make.com or any other market leader) need context specific to your business domain. Rebuilding it for each agent or workflow does not scale. You want something that’s set up once, stays live, and can be reused everywhere. This is the vision of Qontext and why I’m excited about their product.
Fabian Veit
CEO, make.com
In customer service AI, context is everything. If you want precise answers and customers who feel understood, generic AI won’t get you there.
Qontext provides the shared context foundation that makes this possible.
Philipp Heltewig
CEO & Founder, Cognigy
Thanks to Qontext, our go-to-market agents always have up-to-date company knowledge.
Florian Findeis
Strategy Lead, tacto
Maintaining context across ten agents was manageable, but not scalable.
As AI expands, Qontext provides a single, up-to-date context base that powers them all.
Laurenz Ohnemüller
AI Engineer, Flink
After months of exploring and scaling AI, we realized high quality context is THE key to success.
Maximilian Gebhard
AI Lead, FINN
Stay in control of your context
No vendor-lock-in
Your context stays independent from vendors and AI tools.
ISO 27001-certified
Certified to the global standard for information management.
GDPR-compliant
All data handling follows GDPR by design.
Made in Germany
Qontext is built and operated from our office in Berlin.
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