Project category
Workflow & Automation tech stacks
Workflow automation, orchestration, and integration engines. 6 production examples.
Production Workflow & Automation projects
- Browser Agent Classic Jev Ultrafast Asking Jev for the operation and speculative per-operation targets in one request turns each browser step into a single constrained choice, while code validates the observed node and a small LLM writes only typed text.
- Browser Automation Bridge for AI Agents Classic BrowserSkill The agent keeps the browser's real login state and the user can watch and take over, because the design pairs a small native Rust daemon (callable from any agent's shell) with a WXT extension, instead of running a separate headless browser. A shared protocol crate keeps both sides in sync.
- Fair-Code Workflow Automation & AI Integrator Hybrid n8n n8n splits its execution engine, workflow schema, and integration nodes into separate TypeORM- and Express-backed packages so the automation runtime, node library, and Vue editor can be built, tested, and versioned independently inside one Turborepo-orchestrated pnpm workspace.
- Distributed Workflow Orchestrator Classic Temporal Temporal keeps workflow code in external workers and persists every state transition as an event history that the Go gRPC cluster (Frontend, History and Matching services) replays after crashes or restarts, so long-running workflows survive failures on PostgreSQL, MySQL, SQLite or Cassandra storage.
- Declarative Orchestration & Data Flow Engine Classic Kestra Queueing and repository storage run through the same JDBC layer instead of a dedicated broker, so one PostgreSQL (or MySQL/H2) instance is enough to run the scheduler, executor, and worker modules together, while those modules stay separately buildable and scalable.
- Workflow Automation & AI Orchestration Hybrid Activepieces A queue-backed API/worker split on Fastify, PostgreSQL and Redis lets executions scale horizontally, while a typed pieces framework and isolated execution keep community integrations safe to load at runtime.
AGENTS.md rules and agent skills for Workflow & Automation
fastapi-jev-decision-service/AGENTS.mdFastAPI + Jev Decision Service (Python)Python rules for a Jev decision service: FastAPI, the async typesafe-sdk client, a typed question registry, confidence thresholds, decision logs and replay tests. intermediatehono-jsx-internal-tools/AGENTS.mdHono JSX + Bun + SQLite (Server-Rendered Internal Tools)Rules for internal tools rendered on the server with Hono JSX on Bun: forms over fetch, htmx where needed, an OAuth allow-list, Drizzle over SQLite or a read replica, and cron in the same process. starterjev-browser-agent/AGENTS.mdJev Browser Agent (Playwright + TypeSafe System One)Rules for a browser agent where Jev picks the action and target from an indexed element table, Noul checks goal and stuck, and a small LLM types only text. advanced
Questions about Workflow & Automation stacks
How many Workflow & Automation tech stacks are in the directory?
6 verified production Workflow & Automation projects are currently indexed, each with a full architecture breakdown and copy-paste AI scaffolding prompt.
What AGENTS.md rules or agent skills apply to Workflow & Automation projects?
FastAPI + Jev Decision Service (Python), Hono JSX + Bun + SQLite (Server-Rendered Internal Tools), Jev Browser Agent (Playwright + TypeSafe System One) are battle-tested architecture rules for this category, each with a full AGENTS.md, CLAUDE.md, Cursor .mdc file and a Claude Code SKILL.md.
How do I get a custom stack recommendation for a Workflow & Automation project?
Take the STACK IT FAST architecture survey and select "Workflow & Automation" as your project type to get a ranked rule recommendation and an instant AI scaffolding prompt tailored to a "Workflow & Automation" project.