npm install -g @talocode/workerlane

pip install talocode-workerlane

# start the MCP server — connect any harness to it
workerlane mcp

# create a coworker
workerlane agent create --name "qa-bot" --role "reviews every PR before merge"

# queue a task, gated behind an approval
workerlane agent run --agent <ID> --task "audit the auth flow" --approve

# save and recall memory across sessions
workerlane memory remember --text "deploy is Fridays, freeze after 4pm" --tags ops,deploy
workerlane memory recall --query "deploy"

# start a trace run
workerlane trace start --name "release-check"

{
  "mcp": {
    "workerlane": {
      "type": "local",
      "command": ["workerlane", "mcp"]
    }
  }
}

{
  "mcp": {
    "screenlane": {
      "type": "local",
      "command": ["screenlane", "mcp"]
    }
  }
}

import { createAgent, createAgentRun, approveAgentRun, validateHandoff, remember, recall, createTraceRun, startTraceSpan } from '@talocode/workerlane'

const bot = createAgent({ name: 'qa-bot', role: 'reviews every PR before merge' })

const run = createAgentRun({ agentId: bot.id, task: 'audit the auth flow', requireApproval: true })
// → a human approves it before it runs
approveAgentRun(run.id, true)

const r = validateHandoff({
  value: { intent: 'ship', confidence: 0.9 },
  schema: { type: 'object', required: ['intent', 'confidence'], properties: { intent: { type: 'string' }, confidence: { type: 'number' } } },
})

remember('deploy is Fridays, freeze after 4pm', ['ops', 'deploy'])
const facts = recall('deploy')

const trace = createTraceRun('release-check')
const span = startTraceSpan(trace.id, 'verify', 'tool')