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FR-AI / ANALYSISWhy it is worth attention
It treats automation as real, typed, tested, and git-versioned TypeScript code rather than JSON workflow blobs, bridging the gap between AI agent development and traditional software engineering practices.
Who it is for
- Developers using AI coding agents (Claude Code, Cursor, Codex)
- Teams building production-grade AI automations and workflows
- Developers who want code-centric, testable automation over low-code canvas
- Platform engineers seeking self-hosted or cloud-managed agent orchestration
Use cases
- Create a daily briefing agent that scans calendar, email, and issues then posts to Slack
- Build a data analyst agent that answers ad hoc queries via Slack by connecting to a warehouse
- Define cron-triggered workflows with durable step execution and retry logic
Strengths
- Automation is pure TypeScript (agents, actions, workflows) with full IDE support, type checking, and testability
- Durable steps: successful steps are recorded and replayed on retries, not re-executed
- 1000+ integration definitions and support for any HTTP API or MCP server
- Dual deployment model: open-source standalone for local/private use or managed cloud for team collaboration
Considerations
- Licensed under Elastic License 2.0, which prohibits offering substantial functionality as a hosted service to third parties
- Requires Node.js 20+, limiting use in older environments
- Relies on coding agents (Claude Code, Cursor, Codex) for initial setup and prompt-driven development
README quick start
AI automation, built for your coding agent
Build specialized agents and workflow automations with Claude Code, Cursor, Codex, or any coding agent. Everything is real TypeScript in your repo.
Get started · Documentation · Use cases
Keystroke is what n8n would look like if it were built for coding agents. Describe the agent or automation you want, and your coding agent builds it as typed, tested, git-versioned TypeScript. Deploy it to a shared platform where your team can run it, connect credentials, and inspect every run.
No JSON workflow blobs. No canvas as the source of truth. Your automation is code your agent can grep, test, review, and fix.
Start with your coding agent
Paste this into Claude Code, Cursor, Codex, or another agentic IDE:
Read https://keystroke.ai/start.md then help me create my first automation.
Your agent installs the CLI, connects your account, scaffolds a project, and deploys the first version. Then describe what you want to build:
Each weekday morning, scan my Google Calendar, Gmail inbox, and Linear issues,
then send me a short briefing in Slack.
Build a data analyst agent that answers ad hoc business questions by querying
our warehouse. Connect it to Slack so the team can ask questions in #data.
Or set it up yourself
Prerequisite: Node.js 20 or later.
npm install -g @keystrokehq/cli
keystroke auth login
keystroke init my-app --yes
cd my-app
keystroke projects list
keystroke projects link --project
keystroke deploy
keystroke deploy lints, typechecks, builds, and uploads your project. No
separate build steps are required.
Everything is TypeScript
Agents, workflows, actions, and triggers live under src/ in your project.
my-app/
├── src/
│ ├── actions/
│ ├── agents/
│ ├── triggers/
│ └── workflows/
├── AGENTS.md
├── keystroke.config.ts
├── package.json
└── tsconfig.json
Define an agent:
import { defineAgent } from "@keystrokehq/keystroke/agent";
export default defineAgent({
slug: "researcher",
name: "Researcher",
description: "Researches a topic and returns a sourced brief.",
systemPrompt: "Research the request, verify important claims, and cite sources.",
model: "anthropic/claude-sonnet-4.6",
});
Create a reusable action
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