'+
''+
- '
'+summary+'
'+
+ (function(){
+ var rc=m.reasoning_chain||null;
+ var hasRc=rc&&(rc.goal||rc.decision||rc.correction||rc.preference||rc.attention);
+ var tabBar='
'+
+ ''+
+ (hasRc?'':'')+
+ '
';
+ var summaryDiv='
';
+ var reasoningDiv='
'+buildReasoningChainHtml(rc)+'
';
+ return tabBar+summaryDiv+reasoningDiv;
+ })()+
dedupInfo+
'
'+
historyHtml+
@@ -3407,6 +3478,23 @@ function toggleContent(id){
el.classList.toggle('show');
}
+function switchCardTab(id, tab){
+ const sumBtn=document.getElementById('tab-sum-'+id);
+ const reaBtn=document.getElementById('tab-rea-'+id);
+ const sumEl=document.getElementById('summary-'+id);
+ const reaEl=document.getElementById('reasoning-'+id);
+ if(!sumBtn||!reaBtn) return;
+ if(tab==='summary'){
+ sumBtn.classList.add('active');reaBtn.classList.remove('active');
+ if(sumEl) sumEl.style.display='';
+ if(reaEl) reaEl.style.display='none';
+ } else {
+ sumBtn.classList.remove('active');reaBtn.classList.add('active');
+ if(sumEl) sumEl.style.display='none';
+ if(reaEl) reaEl.style.display='block';
+ }
+}
+
function scrollToMemory(targetId){
const cards=document.querySelectorAll('.memory-card');
for(const card of cards){
diff --git a/src/memos/mem_reader/simple_struct.py b/src/memos/mem_reader/simple_struct.py
index f26be360c..564185536 100644
--- a/src/memos/mem_reader/simple_struct.py
+++ b/src/memos/mem_reader/simple_struct.py
@@ -399,6 +399,7 @@ def _build_fast_node(w):
key=m.get("key", ""),
sources=w["sources"],
background=resp.get("summary", ""),
+ reasoning_chain=resp.get("reasoning_chain"),
**ctx_kwargs,
)
chat_read_nodes.append(node)
@@ -444,6 +445,7 @@ def _process_transfer_chat_data(
key=memory_i_raw.get("key", ""),
sources=raw_node.metadata.sources,
background=response_json.get("summary", ""),
+ reasoning_chain=response_json.get("reasoning_chain"),
type_="fact",
confidence=0.99,
**ctx_kwargs,
diff --git a/src/memos/memories/textual/item.py b/src/memos/memories/textual/item.py
index a9b2c43a4..30453bfe0 100644
--- a/src/memos/memories/textual/item.py
+++ b/src/memos/memories/textual/item.py
@@ -194,6 +194,10 @@ class TreeNodeTextualMemoryMetadata(TextualMemoryMetadata):
default="",
description="background of this node",
)
+ reasoning_chain: dict | None = Field(
+ default=None,
+ description="reasoning chain: goal, decision, correction, preference, attention",
+ )
file_ids: list[str] | None = Field(
default_factory=list,
diff --git a/src/memos/templates/mem_reader_prompts.py b/src/memos/templates/mem_reader_prompts.py
index 63e4c1538..f3a3f1bc6 100644
--- a/src/memos/templates/mem_reader_prompts.py
+++ b/src/memos/templates/mem_reader_prompts.py
@@ -32,9 +32,18 @@
},
...
],
- "summary":
+ "summary": ,
+ "reasoning_chain": {
+ "goal": ,
+ "decision": ,
+ "correction": ,
+ "preference": ,
+ "attention":
+ }
}
+The `reasoning_chain` field captures the reasoning behind the memories — not just what happened, but why it matters and what to remember for the future. Fill each sub-field with a brief statement; if a sub-field is not applicable, write "N/A".
+
Language rules:
- The `key`, `value`, `tags`, `summary` fields must match the mostly used language of the input conversation. **如果输入是中文，请输出中文**
- Keep `memory_type` in English.