Releases

• Clawdite v0.4
• Clawdite v0.3
• Clawdite v0.2
• Clawdite v0.1

Clawdite v0.4

We’re thrilled to announce the release of Clawdite v0.4, a substantial update powered by real-world feedback and the growing adoption of the platform across XR5.0 partners and pilots.
This version strengthens our commitment to intelligent, interoperable workforce data, with a sharp focus on integration, validation, and scalability.

What’s New?

Clawdite v0.4 delivers critical updates to both the technical infrastructure and user-facing services, ensuring the platform can support increasingly complex Human Digital Twin use cases in industrial environments.

JSON-Based IIoT Messaging Support

At the core of v0.4 is a major upgrade to the IIoT middleware, which now fully supports MQTT messages in JSON format for both measurements and states.

This makes it easier to:

• Integrate heterogeneous IIoT devices and data sources,
• Ensure consistent message structure across modules,
• Enable downstream applications (e.g., real-time dashboards, anomaly detectors) to parse and act on messages more efficiently.

Refactored Core Modules with Message Validation

To support this change, the HDM, HDM Web, and all publishers (including Functional Modules and the IIoT Layer) have been refactored and hardened.

These improvements bring:

• Stricter message validation, preventing malformed or incomplete data from entering the system,
• Greater reliability and robustness in high-frequency data environments,
• Easier debugging and extension through modular, version-aware design.

Documentation Improvements and Versioning for a Better User Experience

We’ve also focused on improving the documentation website’s usability and transparency.

• A new search bar is now live on the website, allowing users to quickly locate content, documentation, and updates.
• The entire website is now versioned, giving users full control over which instance of Clawdite they’re exploring. This is particularly useful for organizations operating across multiple deployments or needing backward compatibility.
• The documentation now supports JavaScript examples in addition to the existing Python and Java samples, making it easier for developers across different languages to follow along.

⚠️ Please note: A migration period will run throughout August 2025, after which v0.3 will be officially deprecated.

Why It Matters

These updates are not just quality-of-life improvements—they are enablers of scale and autonomy.

With JSON-based messaging and structured content validation, Clawdite v0.4 ensures that real-time data from the shop floor can be safely and meaningfully integrated into the Human Digital Twin ecosystem.
This directly supports predictive capabilities, adaptive task planning, and human-centered automation across different use cases.

Most importantly, we now have more than 5 partners actively working autonomously within the scope of XR5.0 project on a shared instance of Clawdite, a major milestone demonstrating real-world trust and scalability.

Looking Ahead

Clawdite v0.4 sets the stage for some exciting developments. Our upcoming roadmap includes:

• User Interfaces for entity creation and Human Digital Twin exploration,
• Platform Multitenancy for better organization-level management,
• Worker and User Skills Profiling for deeper human-aware adaptation,
• Dedicated Functional Modules to support the evolving XR5.0 pilot requirements.

Try It Out

Clawdite v0.4 is now available for all XR5.0 project partners and collaborators.
To explore the new features, migrate your instance, or get started with integrations, don’t hesitate to reach out to our team.

Let’s keep building smarter, more human-centric systems—together.

Clawdite v0.3

We’re excited to announce the release of Clawdite v0.3, a major step forward in our mission to create a more intelligent, structured, and actionable representation of workforce data. This version brings significant enhancements to the data model, focusing on a comprehensive approach to modeling worker skills, tasks, and exemptions, laying the foundation for AI-driven decision support in manufacturing and industrial environments.

What’s New?

The Clawdite v0.3 release introduces a suite of new capabilities specifically designed to support advanced workforce intelligence systems like the Human Digital Twin (HDT) used in the Circular TwAIn project.

Extended Data Model for Skills and Taxonomies

The core of Clawdite v0.3 lies in its extended data model that now supports:

• Structured skill representation, also aligned with external taxonomies (e.g., O*NET Content Model),
• Worker characteristics that differentiate between relevant data (skills, abilities, values) and unrelated traits (e.g., age),
• Taxonomy item linking, allowing any modeled skill to be anchored to a known reference taxonomy, ensuring consistency and interpretability across applications.

This model makes it easy to filter, query, and reason over operator skills using established frameworks like O*NET.

Task Assignment and Interventions

With v0.3, Clawdite revises the concept of tasks (aka interventions). This new layer allows the system to:

• Track who was assigned what, when, and why,
• Store metadata around tasks, including purpose, complexity, and required capabilities,
• Lay the groundwork for automated or assisted task planning systems.

Exemptions: Handling Real-World Constraints

We recognize that not every worker can perform every task. That’s why Clawdite v0.3 adds the concept of Exemptions, a dedicated mechanism to explicitly state when and why an operator should not be assigned a particular task.

This supports:

• Safety and compliance rules (e.g., certification required),
• Temporary unavailability (e.g., medical restrictions),
• Personal or contractual constraints.

Why It Matters

These new features are more than just data modeling improvements—they’re enablers of intelligent, human-centric automation.

With v0.3, Clawdite provides the foundation for AI-driven modules, such as the Operator2Task Assignment Engine developed in the Circular TwAIn project. These systems rely on structured, interoperable data to:

• Match the right worker to the right task using skill-based reasoning,
• Avoid incompatible assignments using exemption rules,
• Continuously learn and improve through feedback and historical data.

Looking Ahead

As Clawdite continues to evolve, we’re committed to pushing the boundaries of what Human Digital Twins can represent and enable. The roadmap for upcoming versions includes:

• Support for dynamic skill evolution over time,
• Integration with training programs and performance feedback,
• Better UI/UX for managing task planning and worker profiles.

Try It Out

Clawdite v0.3 is now available to partners and collaborators in the Circular TwAIn project. For more information, demos, or integration support, please contact our team.

Clawdite v0.2

We announce the release of Clawdite v0.2, a significant update focused on making the platform more resilient, modern, and developer-friendly. This release includes deep upgrades to our data infrastructure, enhanced data availability features, and a fully unified API documentation system designed to streamline integration and usage.

Key Highlights

Clawdite v0.2 is primarily a technical refinement release, aimed at making the platform faster, cleaner, and more accessible. While the functional data model from v0.1 remains stable, this version brings a host of improvements across the stack.

Migration to InfluxDB v2

We’ve fully migrated our time-series infrastructure to InfluxDB v2, adopting the latest features and architecture. This upgrade enables:

• Better performance and scalability,
• Native support for Flux, the new functional query language,
• Improved access control and data organization.

This change affects all components relying on historical time-series data, including HDM, Grafana, and HDM-Web.

MinIO Integration for Offline Data Handling

To support scenarios where Gateways operate offline, Clawdite now integrates MinIO, a high-performance object storage system. This allows us to:

• Store batches of data locally when live transmission is unavailable,
• Ensure data integrity and continuity, even in intermittent network conditions,
• Seamlessly ingest stored batches into Clawdite once connectivity is restored.

This makes Clawdite more robust and suitable for real-world industrial environments, where downtime or disconnection may occur.

HDM Updated for InfluxDB v2 and MinIO

The Historical Data Manager (HDM) has been refactored to:

• Interact with InfluxDB v2 using Flux queries,
• Retrieve and process offline-stored data from MinIO, ensuring that no operator or sensor data is lost,
• Provide a unified interface for historical data access regardless of the data’s source.

These changes improve the reliability and transparency of data within the HDT ecosystem.

HDM-Web Now Powered by Flux

The HDM-Web has also been updated to fully support the new Flux query language, replacing the deprecated InfluxQL syntax. This provides:

• More powerful and flexible query capabilities,
• Compatibility with InfluxDB v2,
• Improved query precision and filtering options in the web UI.

Grafana Dashboards Upgraded

Clawdite’s Grafana integration has received a full refresh:

• Updated to the latest Grafana version,
• Dashboards restructured to query InfluxDB via Flux,

Unified API Documentation with OpenAPI 3

We’ve taken a major step forward in developer experience by introducing complete API documentation using OpenAPI Specification v3. This includes:

• A unified Swagger UI entry point that aggregates all Clawdite API specs in one place,
• Interactive documentation for easier exploration and testing,
• Improved onboarding for integrators and partners.

What’s Next?

Clawdite v0.2 reflects our commitment to:

• Operational resilience through smarter data storage and fallback mechanisms,
• Modernization through upgraded infrastructure and tooling,
• Accessibility through well-documented, standards-compliant APIs.

As we look ahead to v0.3 and beyond, our roadmap includes:

• Advanced interfaces for task planning and operator profiling,
• Extended models for task performance tracking.

Clawdite v0.1

Checkout the first version of the Clawdite platform from GitLab.

This is the version we demoed during the first STAR project review meeting. While the core functionalities of Clawdite are there, this version is still not production-ready, thus we recommend to use it in development environments only.