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Basic Information

This repository provides tools and integrations to improve developer experience for building enterprise agents, with a focus on Redpanda-related infrastructure. The README describes the project as offering an opinionated stack for multi-agent applications including integration with a Redpanda MCP server, support for declarative configuration via Starlark in Python instead of YAML, and hooks into Redpanda broker features such as ACLs and auth{z,n}. It includes a gRPC plugin for Python agents, OpenTelemetry metrics for both Python processes and Redpanda Connect pipelines, and an init template engine to bootstrap new projects. The project is documented publicly and demonstrates capabilities with recorded demos labeled MCP Demo and Agentic AI Demo. The roadmap lists completed integrations and a few partially implemented items such as audit log shipping and durable promise execution with Redpanda.

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Features
The README highlights specific, practical integrations and developer conveniences. Completed features include integration with the Redpanda MCP server, Starlark-based declarative configs for Python, multi-agent support tied to Redpanda broker ACLs and authentication, a gRPC plugin for Python agents, and OpenTelemetry metrics for both Redpanda Connect pipelines and the Python process. There is an init template engine to start new agent projects and support for in-process multi agents. Public documentation is available and the repo includes video demos. The roadmap also lists partially implemented items such as audit log delivery to Redpanda/Kafka and work toward durable promise execution using Redpanda.
Use Cases
This project helps developers accelerate the creation and operation of enterprise agents by providing ready integrations and tooling aligned with Redpanda. Declarative Starlark configs reduce YAML management in Python-centric workflows. The gRPC plugin enables standardized communication for Python agents. OpenTelemetry support provides observability for both agent processes and Redpanda Connect pipelines. The init template engine shortens onboarding for new projects. In-process multi-agent support and broker-level integrations with ACLs and authentication simplify deployment scenarios that need coordination across agents. Public docs and recorded demos aid learning and evaluation. The roadmap clarifies which capabilities are production-ready and which, like audit log shipping and durable promises, remain partial.

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