Kestra
Kestra is an open-source, event-driven orchestration and scheduling platform where workflows are declared in YAML or built in a no-code editor. It includes an AI Agent task that gives flows an LLM with memory and tools, supports nested agents and the Agent-to-Agent (A2A) protocol, and can expose any flow as a tool to external AI agents through its MCP server. It runs in the cloud, on-prem or air-gapped and is Apache 2.0 licensed.
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About Kestra
Kestra is listed in our agent infra category and is aimed at builders. Kestra is an open-source, event-driven orchestration and scheduling platform where workflows are declared in YAML or built in a no-code editor. It includes an AI Agent task that gives flows an LLM with memory and tools, supports nested agents and the Agent-to-Agent (A2A) protocol, and can expose any flow as a tool to external AI agents through its MCP server. It runs in the cloud, on-prem or air-gapped and is Apache 2.0 licensed. Pricing, as the maker states it: Open Source edition is free (Apache 2.0); Enterprise Edition and Kestra Cloud are annual subscriptions priced via sales, no public price (kestra.io/pricing, checked Oct 22 2026).. Maturity: Mature. We last checked the official link on 2026-10-22.
Kestra at a glance
- Category: Agent infra
- Built for: Developers and teams building with AI agents
- Pricing: Open Source edition is free (Apache 2.0); Enterprise Edition and Kestra Cloud are annual subscriptions priced via sales, no public price (kestra.io/pricing, checked Oct 22 2026). (as the maker states it)
- GitHub: kestra-io/kestra · 29,948 stars (as of Oct 22, 2026)
- Official site: kestra.io
- Listed on AgentScout: Oct 22, 2026
Kestra FAQ
What is Kestra?
Kestra is an open-source, event-driven orchestration and scheduling platform where workflows are declared in YAML or built in a no-code editor. It includes an AI Agent task that gives flows an LLM with memory and tools, supports nested agents and the Agent-to-Agent (A2A) protocol, and can expose any flow as a tool to external AI agents through its MCP server. It runs in the cloud, on-prem or air-gapped and is Apache 2.0 licensed.
How much does Kestra cost?
Kestra's pricing, as the maker states it: Open Source edition is free (Apache 2.0); Enterprise Edition and Kestra Cloud are annual subscriptions priced via sales, no public price (kestra.io/pricing, checked Oct 22 2026).. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Where can I find Kestra's source code?
On GitHub at kestra-io/kestra, which had 29,948 stars as of Oct 22, 2026.
What are alternatives to Kestra?
Similar tools include Windmill, Kong Gateway, Inngest, Foreman, OpenComputer and Atomic Mail.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
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Kestra alternatives
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Windmill
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Kong Gateway
Cloud-native API, LLM and MCP gateway that adds routing, auth, multi-LLM support, semantic security and MCP traffic analytics through plugins.
Inngest
Inngest is a durable workflow orchestration platform for running stateful step functions and AI workflows on serverless, servers or the edge. You write functions in TypeScript, Python or Go with automatic retries, queues, throttling and human-in-the-loop waits, and its AgentKit and AI inference steps let you build durable, long-running AI agents with tracing and evals. The server is source-available (SSPL, converting to Apache 2.0 later) and can be self-hosted, or you can use Inngest Cloud.
Foreman
Foreman from ThruWire supervises coding agents with fast decision models. You give it a ticket, spec or bug report and it runs Codex, OpenCode, Hermes or LangChain's Deep Agents Code as workers, or attaches to supported sessions such as Pi, then independently judges whether the job meets the original requirements, whether the test evidence is enough and when verification or human input is needed. Extra checks can be configured for your workflow, and it is MIT licensed.
OpenComputer
OpenComputer is a platform for building and deploying long-running AI agents as code. You define an agent as a TypeScript function with its model, tools and MCP servers, deploy it with one command, and every session gets its own real cloud computer, with managed sessions, schedules and API keys kept outside the agent's runtime. Templates include a coding agent that edits a repo, runs checks and opens a draft pull request, and market-research and GTM agents; its own Slack coding agent runs on it. Pricing is pay-as-you-go for model calls and per-second machine time.
Atomic Mail
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