LFX Mentorship Active 2026
Drasi
About the Organization
Drasi is a Data Change Processing platform that enables developers to detect and react to meaningful data changes using declarative Cypher queries. Drasi excels at complex change detection with unique features like `drasi.trueFor()` (detecting conditions that persist over time) and absence-of-change detection (alerting when expected events don't occur). However, it currently lacks native connectivity to IoT protocols. Drasi Lib provides Drasi's powerful graph-aware decision engine as an embeddable Rust library that can run completely offline on constrained hardware—enabling edge computing scenarios where logic runs directly on sensors and gateways. IoT applications fundamentally need to detect state transitions, but developers typically must write boilerplate code and manage state persistence manually. Drasi's diff-engine handles state management and change computation automatically, emitting events only when meaningful changes occur. MQTT (Message Queuing Telemetry Transport) is the de-facto standard protocol for IoT, used by AWS IoT Core, Azure IoT Hub, and virtually every IoT deployment. Adding MQTT support to Drasi Lib will unlock the entire IoT ecosystem for Drasi users. In this project, the mentee will build a suite of lightweight Rust crates that enable Drasi Lib to communicate with MQTT brokers. They will create connectors to ingest sensor data (MQTT Source), execute local actions (Shell Reaction), and close the control loop (MQTT Reaction).
Primary Technologies & Languages
rustmqtt protocolpub/sub patternsdockercypher query languagegraph concepts
Technical Topics & Focus Areas
rustmqtt protocolpub/sub patternsdockercypher query languagemqtt protocolgraph concepts
Participation Years
Completed Projects Distribution
Annual Completed Projects History
DrasiHover over bars to view completed counts
4
3
2
1
0
2026
Projects1
Years Active1
Stackrust
TierTier 1
Past Projects
Showing 1 of 1 projects. Click any project card for scope, mentors, and proposal studio.
IoT: MQTT integration and real-time sensor monitoring (2026 Term 1)
IntermediateDrasi is a Data Change Processing platform that enables developers to detect and react to meaningful data changes using declarative Cypher queries. Drasi excels at complex change detection with unique features like `drasi.trueFor()` (detecting conditions that persist over time) and absence-of-change detection (alerting when expected events don't occur). However, it currently lacks native connectivity to IoT protocols. Drasi Lib provides Drasi's powerful graph-aware decision engine as an embeddable Rust library that can run completely offline on constrained hardware—enabling edge computing scenarios where logic runs directly on sensors and gateways. IoT applications fundamentally need to detect state transitions, but developers typically must write boilerplate code and manage state persistence manually. Drasi's diff-engine handles state management and change computation automatically, emitting events only when meaningful changes occur. MQTT (Message Queuing Telemetry Transport) is the de-facto standard protocol for IoT, used by AWS IoT Core, Azure IoT Hub, and virtually every IoT deployment. Adding MQTT support to Drasi Lib will unlock the entire IoT ecosystem for Drasi users. In this project, the mentee will build a suite of lightweight Rust crates that enable Drasi Lib to communicate with MQTT brokers. They will create connectors to ingest sensor data (MQTT Source), execute local actions (Shell Reaction), and close the control loop (MQTT Reaction).