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modus/overview.mdx

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@@ -23,30 +23,44 @@ agents that maintain persistent memory across interactions. This eliminates the
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need to parse conversation histories, rebuild context from scratch, or lose
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state when errors occur.
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Modus provides a complete toolkit for building intelligent applications:
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- **Functions**: Stateless operations that automatically become shareable skills
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via auto-generated APIs
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- **Agents**: Stateful entities with short-term and long-term memory that
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coordinate models, tools, and data
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- **Models**: Domain-specific AI models with the ability to easily swap in
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different providers or versions
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- **Knowledge Graphs**: Organizational memory that scales context across
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multi-agent architectures
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- **Collections**: Vector storage and semantic search capabilities for
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intelligent data retrieval
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- **Tools**: Curated resources, databases, and external APIs that agents can
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securely access
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Built-in observability provides automatic inference logging and tracing, while
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secure-by-default authorization ensures risk-appropriate access to tools and
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data. Following modern best practices for AI-native architectures, Modus
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implements principles from the 12-factor agentic app methodology for
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maintainable, scalable intelligent systems.
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You can run Modus locally for development or deploy it in seconds to Hypermode
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for production.
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## What is Modus good for? {/* vale Google.Contractions = NO */}
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Modus is designed for building both traditional functions and intelligent
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agents. It supports sub-second response times for stateless operations and
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long-running, autonomous workflows that maintain state over time.
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Modus is designed for building applications where AI is at its core capability.
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It supports sub-second response times for stateless operations and long-running,
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autonomous workflows that maintain state over time.
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**Beyond demo prompt apps**: we've all built apps with prompts and AI tool
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integrations. When you're ready to take your project to the next level, Modus
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serves as your AI component in the stack. Modus can sit right alongside your
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existing app, handling the intelligent workflows while your main app focuses on
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what it does best.
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**Functions**: stateless operations for API endpoints, data processing, and AI
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inference tasks.
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**Agents**: stateful entities that maintain conversation history, coordinate
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between models and tools, and operate independently over extended periods.
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Agents automatically handle state persistence and fault tolerance.
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Both can be deployed in the same app, allowing you to choose the right
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abstraction for each use case.
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Both functions and agents can be deployed in the same app, allowing you to
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choose the right abstraction for each use case.
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For more inspiration, check out the
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[Modus recipes](https://github.com/hypermodeinc/modus-recipes).
@@ -65,9 +79,10 @@ For more inspiration, check out the
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</Card>
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<Card
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title="What about knowledge graphs?"
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icon="share-nodes"
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icon="network-wired"
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href="/modus/knowledge-graphs"
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>
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Build intelligence networks with persistent institutional memory
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</Card>
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</CardGroup>
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```

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