Keystroke vs n8n in 2026: Agent-Built TypeScript vs the Visual Canvas

Overview

Keystroke launched in July 2026 with a single positioning sentence aimed straight at n8n: "an n8n alternative built for your coding agent." Where n8n gives humans a visual canvas that stores workflows as JSON graphs, Keystroke has AI coding agents such as Claude Code, Cursor, and Codex write automations as typed TypeScript that lives in the user's own git repository. The two platforms represent opposite answers to the same 2026 question: when an AI agent is doing the building, what should a workflow actually be? This comparison covers both building models, execution and durability, integrations, licensing, verified July 2026 pricing including Keystroke's usage metering, and the maturity gap that currently separates them.

Company Snapshot

The Core Trade-Off

n8n's model is canvas-first: workflows are node graphs built in a visual editor, stored as JSON, and executed by the n8n runtime. That model made n8n one of the most widely deployed automation platforms in the world, and its 2026 releases added an AI workflow builder, evaluations for AI workflows, and an MCP server so external AI systems can drive n8n itself. The canvas remains the source of truth.

Keystroke's founding argument is that the canvas stops being an asset once the builder is an AI agent. Coding agents work better with real code than with a JSON abstraction: TypeScript can be typed with Zod schemas, tested with Vitest, reviewed in a pull request, and versioned in git alongside the rest of a team's code. Keystroke workflows are ordinary async TypeScript functions; agents are configured objects that wrap the Vercel AI SDK and can call workflows, actions, other agents, MCP servers, and integrations as tools. The founders built internal automations on n8n and similar tools at their previous startup and describe them as fast initially but hard to maintain as systems grew, which is the experience Keystroke is designed around.

The honest middle position: n8n users who want agent assistance already have options inside n8n (its own AI builder, plus community MCP bridges that let Claude drive the n8n canvas), while Keystroke asks teams to adopt a new, days-old platform to get the code-native version of that workflow.

Execution and Durability

Keystroke executes workflows as durable steps: each action or agent call inside a workflow is recorded when it succeeds, and on a retry after an error, sleep, approval step, or process restart, completed steps are replayed from the record rather than run again. This is the same durability axis that code-first platforms like Temporal, Inngest, and Trigger.dev compete on. Deployment targets are Keystroke's managed cloud or a self-hosted standalone server, with the code itself remaining in the user's repository either way.

n8n executes a workflow as a run of its node graph, billed on n8n Cloud per execution, where one execution is one full workflow run regardless of node count or data volume. Self-hosted n8n has no execution metering at all, and its queue mode is the standard pattern for scaling beyond a single instance. n8n's error handling (retry policies, error workflows) is mature but restarts failed executions rather than replaying durable steps.

Integrations and Ecosystem

The catalog numbers need context. Keystroke's 1,000+ figure counts integration definitions in a platform that was published four days before this comparison was written; n8n's smaller headline count is backed by years of production use, a 10,000-template community library, and one of the largest star counts on GitHub. On raw ecosystem, the platforms are not in the same weight class in 2026.

Licensing and Self-Hosting

Neither platform is OSI open source, and the nuance matters in both cases. n8n uses the Sustainable Use License, a fair-code license: free to self-host for internal business and personal use, with restrictions on reselling n8n as a hosted service. Keystroke uses the Elastic License 2.0: free to inspect, modify, and self-host, but offering substantial Keystroke functionality to third parties as a managed service is prohibited, and Keystroke Cloud contains separately licensed enterprise code. Both vendors describe themselves as "open source" in marketing; "source-available" is the accurate term for both. For a company automating its own operations, both licenses permit free self-hosting; for anyone building a hosting business, both forbid it.

Pricing (as of July 2026)

Keystroke (from keystroke.ai/pricing)

• Hobby: free forever; $1/month of included usage credit; 1 project, 5 GB storage, 5 concurrent runs, 10-minute timeouts, 7-day log retention
• Pro: $20/month, including $20/month of usage credit; 5 projects, 50 GB storage (then $0.25 per 10 GB), 10 concurrent runs, 30-minute timeouts, 30-day log retention
• Organization: custom pricing; unlimited projects and concurrency, RBAC, SSO, audit logs, priority support

Usage is metered against the included credit on every tier: $0.01 per agent or workflow run, $0.005 per empty poll trigger, $0.007 per web search, $0.001 per web fetch, roughly $0.067 per hour of sandbox compute, and a 1.1x markup on AI model calls unless keys are brought directly. New signups receive $20 in free credits during the open alpha.

n8n (verified July 2026)

• Community: free, self-hosted, no execution metering
• Starter (Cloud): $24/month ($20 billed annually) for 2,500 executions
• Pro (Cloud): $60/month ($50 annually) for 10,000 executions
• Business: $800/month ($667 annually) for 40,000 executions with SSO
• Enterprise: custom

Worked comparison

At 10,000 workflow runs per month, Keystroke's metering comes to about $100 in run fees against Pro's $20 included credit, so roughly $100/month total, versus n8n Cloud Pro at $60/month for the same volume, or $0 on self-hosted n8n. Polling economics also differ: a single Keystroke workflow polling every five minutes generates roughly 8,600 polls a month, about $41 at the empty-poll rate if most find no work, whereas n8n does not bill polling that produces no execution. Keystroke's model gets cheaper than n8n Cloud only at low volumes (a few hundred runs a month fits inside Hobby's free credit), and AI-heavy agent workloads on either platform are dominated by model costs rather than platform fees.

Editor's Note: We run client automations through coding agents daily, and Keystroke's founding thesis matches what we see in practice: typed TypeScript that Claude Code can test beats surgery on an exported JSON graph. But at review time the public repository was four days old (created July 13, 2026, 40 GitHub stars, npm at v0.1.98), and we do not move client production workloads onto a platform that young. We are watching it; n8n remains our default recommendation for self-hosted workflow automation in 2026. — Rafal Fila, ShadowGen

Maturity: The Decisive Axis

Everything above is secondary to this in 2026. n8n has seven years of production history, 200,000+ users, a $2.5B valuation with $240M raised, an enormous template ecosystem, and a documented enterprise feature set. Keystroke has a credible team, $2.4M in funding, well-written documentation, an active commit stream, and no third-party track record at all: as of July 17, 2026 there are no independent reviews, no Hacker News or Reddit discussion threads, and no presence in any published n8n-alternatives round-up. Its "database" capability is advertised on the homepage but not yet documented, its structured review of organization-tier features is untested publicly, and its pricing may change when 1.0 ships. None of that is a criticism of a four-day-old product; it is the honest baseline a buyer should weigh.

Decision Framework

flowchart TD
  A[Choosing between Keystroke and n8n] --> B{Are coding agents the primary builders?}
  B -- No --> N[n8n: visual canvas, mature ecosystem]
  B -- Yes --> C{Production-critical business workflows?}
  C -- Yes --> N2[n8n today; re-evaluate Keystroke after 1.0]
  C -- No --> D{Workflows should live in your git repo?}
  D -- Yes --> K[Keystroke: TypeScript-in-repo, durable steps]
  D -- No --> N

Keystroke fits when:

• The team already builds through Claude Code, Cursor, or Codex and wants automations as reviewable, testable TypeScript in its own repository
• Workloads are internal or experimental, where a pre-1.0 platform is an acceptable risk
• Usage volumes are low enough that the Hobby tier's included credit covers them, making the trial effectively free

n8n fits when:

• Automations are production-critical or maintained by people who are not developers
• The team wants a large template library, community support, and years of documented operational practice
• Self-hosting without per-run metering matters, under a fair-code license
• Agent-assisted building is desired but inside an established platform, via n8n's own AI builder