Память с контекстом.

.mcp.json · .cursor/mcp.json · any remote client

{
  "mcpServers": {
    "brain": {
      "type": "http",
      "url": "https://brain.inite.ai/mcp",
      "headers": {
        "Authorization": "Bearer brain_YOUR_API_KEY"
      }
    }
  }
}

terminal

export BRAIN_KEY="brain_YOUR_API_KEY"

curl -X POST https://brain.inite.ai/v1/ingest/mention \
  -H "Authorization: Bearer $BRAIN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Maria moved to Berlin in June and prefers morning appointments.",
    "userId": "user_42"
  }'

curl -X POST https://brain.inite.ai/v1/search \
  -H "Authorization: Bearer $BRAIN_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "query": "where does Maria live", "userId": "user_42", "limit": 5 }'

terminal

export BRAIN_KEY="brain_YOUR_API_KEY"

curl -X POST https://brain.inite.ai/v1/ingest/fact \
  -H "Authorization: Bearer $BRAIN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "entityRef": { "vertical": "rent", "id": "cust_42" },
    "predicate": "complained_about",
    "object": "late maintenance",
    "userId": "user_42",
    "validFrom": "2026-09-01T10:00:00Z",
    "source": { "vertical": "rent", "messageId": "msg_1" }
  }'

curl -X POST https://brain.inite.ai/v1/search \
  -H "Authorization: Bearer $BRAIN_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "query": "maintenance issues", "userId": "user_42", "limit": 5 }'

Node.js · native fetch

const headers = {
  Authorization: `Bearer ${process.env.BRAIN_KEY}`,
  'Content-Type': 'application/json',
}

const write = await fetch('https://brain.inite.ai/v1/ingest/mention', {
  method: 'POST', headers,
  body: JSON.stringify({
    text: 'Maria moved to Berlin in June and prefers morning appointments.',
    userId: 'user_42',
  }),
})
if (!write.ok) throw new Error(`Ingest failed: ${write.status}`)

const response = await fetch('https://brain.inite.ai/v1/search', {
  method: 'POST', headers,
  body: JSON.stringify({
    query: 'where does Maria live', userId: 'user_42', limit: 5,
  }),
})
if (!response.ok) throw new Error(`Search failed: ${response.status}`)
const hits = await response.json()

npm i @inite/brain

import { createBrain, brainTools } from '@inite/brain'

const brain = createBrain({
  apiKey: process.env.BRAIN_KEY!,
  userId: 'user_42', // threaded onto every call, reads and writes alike
})

await brain.remember('Maria moved to Berlin in June and prefers morning appointments.')

const { answer, citations } = await brain.answer('where does Maria live')

// Or hand the same memory to an agent framework — this object is what
// the Vercel AI SDK's `tools:` map takes directly.
// await generateText({ model, tools: brainTools(brain), prompt })