> ## Documentation Index
> Fetch the complete documentation index at: https://docs.conare.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Memory quickstart

> Create an Integration key, verify it with a status check, save an end user's first memory, and recall it via search or synthesized deep recall.

<Steps>
  <Step title="Get an Integration key">
    Create an Integration in the [Conare dashboard](https://conare.ai/dashboard). You get a scoped Bearer key (`cint_...`) — it is shown **once** and stored only as a SHA-256 digest, so put it in a server-side secret manager. Never ship it to a browser.
  </Step>

  <Step title="Verify the credential">
    `GET /api/v1/status` is a side-effect-free smoke test: it validates the key, namespace routing, and the memory-plane hop without creating an end user or consuming quota.

    ```bash theme={null}
    curl https://api.conare.ai/api/v1/status \
      -H "Authorization: Bearer $CONARE_KEY"
    ```
  </Step>

  <Step title="Save a memory">
    Save distilled observations (a sentence or paragraph), not raw events. Saving identical content twice is a no-op (`deduped: true`).

    ```bash theme={null}
    curl https://api.conare.ai/api/v1/memories \
      -H "Authorization: Bearer $CONARE_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "endUserId": "u_123",
        "content": "User prefers smaller islands, wants to avoid crowds. ASA 104 certified.",
        "containerTag": "profile"
      }'
    ```
  </Step>

  <Step title="Recall it">
    Two retrieval modes, pick per call site:

    ```bash theme={null}
    # Raw hybrid search — sub-second, no LLM. Your agent does the reasoning.
    curl https://api.conare.ai/api/v1/search \
      -H "Authorization: Bearer $CONARE_KEY" \
      -H "Content-Type: application/json" \
      -d '{ "endUserId": "u_123", "query": "charter budget boat type", "limit": 10 }'

    # Deep recall — LLM-synthesized, citation-grounded answer (~3–6s).
    # Inject `answer` into your agent's system prompt at session start.
    curl https://api.conare.ai/api/v1/recall \
      -H "Authorization: Bearer $CONARE_KEY" \
      -H "Content-Type: application/json" \
      -d '{ "endUserId": "u_123", "query": "what do we know about this user and their upcoming trip" }'
    ```
  </Step>
</Steps>

<Note>
  Every response carries `X-Request-Id`. Send your own (1–128 chars, alphanumeric first) to correlate a request through the Conare edge and memory plane.
</Note>

Next: understand [Integrations, end users, and containers](/platform/concepts), or jump to the full [API Reference](/api-reference).