Neura Desktop Agent

import { NeuraAgent } from '@imara/neura-sdk'

const agent = new NeuraAgent({
  apiKey: process.env.NEURA_API_KEY,
  model: 'neura-v1',
  autonomyLevel: 'L2', // goal-driven
})

await agent.connect()

// Create a task with natural language
const task = await agent.createTask({
  instruction: 'Summarize my meeting notes from today',
  context: {
    source: 'local-files',
    path: '~/Documents/meetings/',
  },
  constraints: {
    maxSteps: 10,
    requireConfirmation: true,
  },
})

// Listen for task events
task.on('step', (step) => {
  console.log(`[${step.type}] ${step.description}`)
})

task.on('confirmation', async (action) => {
  console.log('Agent wants to:', action.description)
  const approved = await promptUser(action.description)
  action.respond(approved)
})

const result = await task.execute()
console.log(result.summary)

// Access agent memory
const memories = await agent.memory.search({
  query: 'project deadlines',
  limit: 5,
})

// Store a preference
await agent.memory.store({
  key: 'preferred_summary_format',
  value: 'bullet-points',
  scope: 'user',
})

// Register a custom plugin
agent.plugins.register({
  name: 'calendar-sync',
  version: '1.0.0',
  capabilities: ['read-calendar', 'create-events'],

  async onTask(context) {
    if (context.intent === 'schedule') {
      const events = await this.getCalendarEvents()
      return { availableSlots: findOpenSlots(events) }
    }
  },
})