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

# summarize-session

> Extract structured memories from a session transcript

Turn a chat session transcript into structured memories. Produces up to **6 memories** (one per layer) capturing goal / context / emotion / implementation / caveat / learning.

Use at session end to preserve the most valuable parts of the conversation.

## Arguments

<ParamField body="transcript" type="string" required>
  The session transcript text. Free-form — paste the conversation or a summary.
</ParamField>

<ParamField body="entity_hint" type="string">
  Optional canonical entity name to attach the memories to (e.g. "MyProject"). If omitted, the prompt infers entities from the transcript.
</ParamField>

## What it produces

A JSON array of memory objects ready for `remember`:

```json theme={null}
[
  {
    "entity_name": "KanseiLink",
    "entity_kind": "project",
    "layer": "goal",
    "content": "Ship AEO report generation by end of May",
    "importance": 0.8
  },
  {
    "entity_name": "KanseiLink",
    "entity_kind": "project",
    "layer": "caveat",
    "content": "Never cache freee OAuth tokens longer than 1 hour — they silently expire",
    "importance": 0.95
  }
]
```

## Rules

* Maximum 6 entries (one per layer)
* Importance scored 0.0 to 1.0
* Caveats must be 1 sentence starting with a verb
* No verbatim quotes from the transcript
* Focus on decisions, pain, and insights — skip routine actions