v1.0 — Now available

Orchestrate
workflows that
actually scale.

RYTA is an extensible workflow automation platform with dynamic JAR loading, plugin architecture, and built-in AI agent support. Build once, extend infinitely.

100+ Built-in activities
Plugin extensions
AI Agent ready

How it works

From trigger to result
in seconds

Define your flow visually or via DSL. RYTA handles orchestration, parallel execution, error handling, and retries automatically.

01 /

Define the trigger

Start with a webhook, schedule, event, or API call. RYTA supports any entry point — HTTP, Kafka, cron, or custom JAR-based triggers.

02 /
⚙️

Orchestrate the logic

Chain activities in sequence or parallel. Branch conditionally. RYTA's Temporal-based engine guarantees durability and exactly-once execution.

03 /

Ship the output

Push results to any destination — database, REST API, message queue, or AI agent. Full observability and replay on every execution.

Platform core

Two lanes,
one engine.

Parallel workflows run independently without blocking each other. RYTA schedules, monitors, and recovers each lane in real time.

🔀

Parallel execution lanes

Multiple workflow branches run simultaneously without thread contention or blocking.

📦

Dynamic JAR loading

Drop a plugin JAR into the registry. RYTA hot-loads it without downtime or redeploy.

🤖

AI agent activities

Embed LLM calls as first-class activities. Chain prompts, tools, and decisions naturally.

ryta-flow-canvas

Features

Everything you need
to ship production flows

Temporal-powered durability

Every workflow step is durable, replayable, and retryable. Infrastructure failures never lose your execution state.

CORE ENGINE
📦

Dynamic activity registry

Register custom activities as JAR plugins at runtime. No restart, no redeploy. Ship new capabilities in seconds.

EXTENSIBLE
🤖

AI-first architecture

Built-in LLM activity types, prompt chaining, tool-calling patterns, and agent loop support out of the box.

AI-READY
🔌

Plugin architecture

Annotate any Java class with @RytaActivity and it's auto-registered. Zero boilerplate.

DEVELOPER DX
📡

Kafka + Spring Boot native

First-class Kafka event streaming, Spring Boot auto-configuration, and microservice-ready REST endpoints built in.

INTEGRATIONS
📊

Full observability

Every execution is traced, timed, and logged. Replay any workflow from any checkpoint. Full audit trail included.

PRODUCTION

Developer experience

Write once.
Deploy anywhere.

Drop a JAR, add an annotation. RYTA discovers and registers your activity automatically. No XML, no YAML, no config files.

01

Annotate your class

Add @RytaActivity to any Java method to register it.

02

Package as JAR

Build your plugin as a standard Maven/Gradle JAR artifact.

03

Register & run

POST the JAR to RYTA's registry. Activities are live instantly.

J MyPlugin.java
JAVA
@RytaPlugin("data-transformer")
public class DataTransformerPlugin {

  @RytaActivity("transform/normalize")
  public OutputPayload normalize(
    InputPayload input
  ) {
    // Your business logic here
    return OutputPayload.from(input)
      .apply(Normalizer::clean)
      .validate();
  }

  @RytaActivity("transform/enrich")
  public EnrichedPayload enrich(
    OutputPayload data,
    EnrichmentConfig cfg
  ) {
    return enrichmentService
      .process(data, cfg);
  }
}

Integrations

Connects with your stack

RYTA works with the tools you already use. Any JAR-based library becomes a first-class activity.

Apache Kafka
Spring Boot
PostgreSQL
Redis
REST / HTTP
Temporal
OpenAI
AWS S3
Google Cloud
Azure
Apache Spark
MongoDB
Apache Kafka
Spring Boot
PostgreSQL
Redis
REST / HTTP
Temporal
OpenAI
AWS S3
Google Cloud
Azure
Apache Spark
MongoDB

Ready to build?

The workflow engine
your stack deserves.

Scale infinitely. Extend with anything.