One orchestrator.Every workflow.
Build, run, and govern across your entire organization.
Agentic AI under the same controls.
- Declarative
- Language-Agnostic
- 2000+ Plugins
- Cloud
- Self-Hosted
- API-First
Build, run, and govern across your entire organization.
Agentic AI under the same controls.
Kestra scales because it is designed for cross-team orchestration from day one.
Standardize Terraform, Ansible, CI/CD and operational workflows across hybrid and air-gapped environments.
faster infrastructure delivery
lower legacy tooling cost
Run ingestion, transformations, dbt, Airbyte, Spark and quality checks in one workflow engine.
Faster Pipeline Delivery
Fewer Manual backfills
Agents, RAG pipelines, evaluation, publishing, retraining all orchestrated with governance and observability.
less pipeline maintenance
faster AI delivery cycles

Write workflows in YAML. Version them. Review them. Ship them.

Cloud, data, infra, CI/CD, ITSM, messaging. Plug into your entire stack.
2000+ plugins

Cron, events, webhooks, messages. One engine to run them all.

Retries, timeouts, SLAs, RBAC, audit logs. SOC 2, Built to run in production.
Run tasks in Python, Bash, Node.js, Go, or containers. No refactoring required.
Empower every team member to collaborate from a single tool—code for developers, UI for everyone else, all in sync.
Copilot for speed, agents for action. Create, iterate, and automate workflows with an AI native platform.
Trigger executions, manage workflows and resources through the API, and roll out updates safely with Git-driven CI/CD pipelines.
Kestra integrates with your existing cloud, data, infrastructure, and SaaS tools.
With 2000+ plugins, you can orchestrate everything without building custom glue code.
We processed billions of rows and thousands of weekly API pulls in under 3 months. For the first time, our analysts aren't waiting for engineering—they're building the workflows themselves.
Self-host on Docker or Kubernetes. Free Forever

Built for critical environments.
SSO, RBAC, audit logs, multi-tenancy. Isolated workers and dedicated task runners.
Hybrid environments: Cloud, On-Prem, Air-Gapped.
SLA-backed support and a dedicated customer success program.
Managed platform, production-ready, scalable. Fastest time to value.
Jump-start your workflows with a growing library of workflow templates
Summarize any text with a chained AI agent that outputs short, medium, or long summaries in seven languages.
Ingest documents into a vector store and answer questions grounded in retrieved content with a Kestra-native RAG pipeline on OpenAI.
Fetch a stock watchlist from Yahoo Finance, compute momentum and RSI, score it with OpenAI GPT-4o, log signals to PostgreSQL, and alert Slack daily.
Ask Google Gemini for live wind conditions, get a structured go/no-go decision, then notify Slack and block your calendar automatically.
Turn plain-English questions into PostgreSQL queries with OpenAI GPT-4o, grounded on schema only so no row data ever leaves your database.
AI agent that crawls a website's privacy policy and cookie notice, then scores them against GDPR Articles 12-14 and ePrivacy consent rules.
Run your first Ansible playbook from Kestra, no remote hosts or cloud setup required.
Built by our Customer Success TeamTriage incoming incidents with a RAG pipeline that grounds Gemini in your ops knowledge base and posts triage steps to Slack.
Turn any PDF, web page, or text document into structured JSON with OpenAI GPT-4o, then store the results in PostgreSQL and Slack.
Incrementally push freshly updated Postgres rows into an Algolia search index every five minutes.
Turn plain-English to-do prompts into structured Todoist tasks using DeepSeek AI structured output and a Loop HTTP loop.
AI agent that triages a data breach, then drafts Article 33 authority filings and Article 34 subject notifications and emails them to your DPO and customers.
Extract your brand voice from an RSS feed, generate an on-brand blog post with OpenAI GPT-4o, and save it to WordPress as a draft.
Stream RabbitMQ order messages into real-time executions, validate and forward them to an API, and route failures to a self-provisioned dead letter exchange.
Cache LLM answers in Redis so repeated questions are served instantly and OpenAI is only called on a genuine cache miss.
Run Airbyte Cloud syncs in parallel, then trigger a dbt Cloud transformation job once the data lands.
Run scheduled tasks only on business days using a Python calendar check that skips weekends and country-specific public holidays.
Trigger multiple Airbyte connection syncs in parallel from a single Kestra flow to cut total ingestion time.
Classify every prompt with OpenAI, then route it to the best-fit LLM across Anthropic, Gemini, Perplexity, and OpenAI for quality and cost.
Built by our Customer Success TeamBranch an AI prompt on a user-selected priority with Pebble conditionals and get a schema-enforced starship recommendation from SWAPI data.
Kestra gives you fewer tools to maintain, fewer scripts to debug, fewer dependencies between teams, and one place to see what’s running
across your company.