chore(_example): add in-memory executor scripts and improve onboarding docs

[Scra3]

Summary

• Adds yarn start and yarn start:in-memory scripts to @forestadmin/workflow-executor using Node's --env-file=.env flag for automatic env loading
• Adds .env.example with the 3 required variables (AGENT_URL, FOREST_ENV_SECRET, FOREST_AUTH_SECRET)

Onboarding flow

For someone who already has a Forest Admin agent running:

git clone https://github.com/ForestAdmin/agent-nodejs
cd agent-nodejs
git checkout feat/prd-214-server-step-mapper
yarn && yarn build
cd packages/workflow-executor
cp .env.example .env
# Fill in the 3 values
yarn start:in-memory

🤖 Generated with Claude Code

Note

Add in-memory executor npm scripts and update onboarding docs for Quick Start mode

• Adds start:with-executor:with-openai:in-memory and start:with-executor:with-anthropic:in-memory scripts to package.json, each concurrently launching the agent and the workflow executor in-memory mode with provider-specific AI env vars.
• Each script waits for the agent to become reachable via curl before starting tsx watch ../workflow-executor/src/cli.ts --pretty --in-memory.
• Adds start and start:in-memory scripts to workflow-executor/package.json for standalone executor startup using .env.
• Rewrites _example/README.md to document Quick Start (in-memory) and Persistent (Postgres) modes with updated ports and environment variable instructions.
• Adds .env.example with AGENT_URL, FOREST_ENV_SECRET, and FOREST_AUTH_SECRET placeholders.

^{Macroscope summarized 221548f.}

[qltysh]

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