AI BriefingLogistics Data Integration AI Agent Mandala
Key point
Mandala, an open-source runtime that streams logistics data into OpenTelemetry spans so AI agents can reason over it, has been released.
Details
Mandala is an open-source async runtime that unifies data from fragmented logistics systems such as Samsara (truck telemetry), Descartes (customs), and Vizion (rail status).
It streams data via Redis Streams and converts it into OpenTelemetry (OTel) event spans, designed to enable storage and reasoning.
Key features include:
- MCP (Model Context Protocol) compatibility: Combined with an MCP server, it lets LLMs (e.g., Claude) directly access logistics data and use tools such as routing, weather, dispatch, and Slack notifications.
- Observability integration: Treats each shipment's entire process as a single trace, integrating with Jaeger, Honeycomb, Datadog, and others.
- Data analytics: Data can be converted into dbt models and sent to a data warehouse for analysis.
The project is written in 83% Python, 12% Rust.
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