Keystroke is an all-in-one platform for building powerful AI agents. Describe the agent you need, and Keystroke builds it, connects your tools, tests it, and deploys it to a shared workspace. Give agents memory, workflows, triggers, approvals, and access to 1,000+ integrations. Open source, YC-backed, and free to try with $20 in credits.
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Keystroke is an all-in-one platform for building powerful AI agents and automations. Instead of wrestling with complex configuration, you describe the agent you need, and a coding agent—like Cursor or Claude Code—builds it in TypeScript using Keystroke's SDK. The result deploys to a managed web platform where you can test, collaborate, and share what you've built with your team. It's open source, YC-backed, and free to try with $20 in credits.
Keystroke's agents are model-agnostic and highly configurable. They come with a persistent file system, memory system, sandboxed environments, SQLite database, web search, browser automation, and native messaging for Slack, Telegram, Discord, Linear, and GitHub. Agents can even set their own triggers and schedules, and you can deploy a unique instance per employee.
Workflows are real TypeScript running on managed infrastructure. They support webhook, cron, polling, and event-driven triggers, plus a visual canvas for building complex multi-agent flows. Durable execution includes retries, sleeps, resumes, and replay, with type-safe data flow via Zod schemas. You get Git-backed deploys, versioning, rollbacks, and built-in run history.
Every agent and workflow gets its own page in the web app. Teammates can chat with agents, inspect previous versions, share resources via public links, and publish reusable agents, workflows, skills, and MCP servers to an organization registry. You can also expose agents as MCP tools for Cursor, Claude, ChatGPT, and more.
Keystroke provides role-based access control, scoped credentials that hide API keys, AI model restrictions with spend policies, and sandboxed execution with predictable resource boundaries. You can deploy on Keystroke-managed infrastructure or inside your own cloud or VPC. Usage monitoring tracks runs, failures, credit usage, model spend, budgets, and quotas across the organization.
Keystroke turns natural language descriptions into production-ready, collaborative AI agents—without locking you into a single model or vendor.
The combination of an SDK-driven build process with a managed web platform is rare. You get the flexibility of coding agents and TypeScript, plus the governance, observability, and collaboration layer that enterprises need before letting agents touch real credentials and budgets. The 1,000+ integrations catalog and MCP support mean your agents can plug into the tools you already use.
You're evaluating n8n alternatives, building internal agent platforms, or need to give non-technical teammates a safe way to create automations. If you want agents that can be deployed per-user, governed by role-based permissions, and observed across the entire organization, Keystroke is worth a serious look.
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