pip install cerebe

npm install @cerebe/sdk

from cerebe import AsyncCerebe

client = AsyncCerebe(api_key="YOUR_API_KEY")

await client.memory.add(
    content="User prefers visual explanations over text",
    user_id="user_123",
    session_id="onboarding_session",
    type="semantic",
    importance=0.8,
)

import Cerebe from '@cerebe/sdk'

const client = new Cerebe({ apiKey: 'YOUR_API_KEY' })

await client.memory.add({
  content: 'User prefers visual explanations over text',
  userId: 'user_123',
  sessionId: 'onboarding_session',
  type: 'semantic',
  importance: 0.8,
})

curl -X POST https://api.cerebe.ai/api/v1/memory/store \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "User prefers visual explanations over text",
    "entity_id": "user_123",
    "session_id": "onboarding_session",
    "memory_type": "semantic",
    "importance": 0.8
  }'

results = await client.memory.search(
    query="What kind of explanations does the user like?",
    session_id="later_session",
    user_id="user_123",
)

print(results.data)
# → memories matching "visual explanations"

const results = await client.memory.search({
  query: 'What kind of explanations does the user like?',
  sessionId: 'later_session',
  userId: 'user_123',
})

console.log(results.data)
// → memories matching "visual explanations"

curl -X POST https://api.cerebe.ai/api/v1/memory/search \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What kind of explanations does the user like?",
    "session_id": "later_session",
    "entity_id": "user_123",
    "limit": 5
  }'