modus - 2026 Pricing, Features, Reviews & Alternatives

Modus is an enterprise AI context management platform that functions as a centralized context warehouse for organizations deploying artificial intelligence agents and workflows at scale. The platform automatically mines, composes, and delivers intent-based context to AI systems, enabling more accurate and efficient AI interactions across the enterprise. It maintains a live representation of how the business operates by learning from existing work patterns and metadata across connected systems. The metadata-first architecture ensures raw customer data remains within the client environment while Modus extracts understanding from how that data is used and structured.

The Context Warehouse architecture surfaces trusted definitions, metric calculations, and business logic without requiring data migration. Governed units of context, tools, and access permissions—called Scopes—can be configured by team, agent, or workflow so each use case receives precisely the context it requires. Context is served via Model Context Protocol or an application programming interface with permission-checked delivery, reducing token consumption through targeted context assembly rather than over-fetching.

Modus supports both bring-your-own-agent implementations and native agent development directly within the platform. External agents such as Claude, Cursor, or custom in-house systems receive composed, permission-checked context for each task. Native agents and automated workflows can be scheduled or triggered, include human-in-the-loop options, and feature evaluations, memory management, and complete run history tracking. The platform provides software development kits, an application programming interface, a command line interface, and Model Context Protocol access methods. Configuration versioning through Git enables teams to review changes by pull request and integrate Modus into continuous integration pipelines alongside other infrastructure components. Custom classification topics can be pushed through the API to ensure organizational taxonomies drive the platform.

Modus integrates with data warehouses, business intelligence platforms, dbt projects, data pipelines, code repositories, documentation systems, and collaboration tools to learn from the full technology stack. Identity-aligned access controls enforce governance at a single layer, preventing permission escalation and maintaining consistent controls across AI interactions. Security and compliance certifications cover major industry standards for security, availability, information security management, data protection, protected health information handling, and privacy rights. Context and configuration data remain exportable to enable adoption of new AI models, tools, or agents without rebuilding how context is managed, thereby avoiding vendor lock-in.