JDSS/mem0
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

docs(cookbooks): fix v3 filters & update() in companions/essentials (#5844)

Browse Source
This commit is contained in:
Kartik
2026-06-27 18:41:35 +05:30
committed by GitHub
parent 7e7682a06d
commit 49061718bd
3 changed files with 9 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/cookbooks/companions/nodejs-companion.mdx
+1 -1
View File
@@ -31,7 +31,7 @@ const openaiClient = new OpenAI();
const memory = new Memory(); const memory = new Memory();
async function chatWithMemories(message, userId = "default_user") { async function chatWithMemories(message, userId = "default_user") {
const relevantMemories = await memory.search(message, { userId: userId }); const relevantMemories = await memory.search(message, { filters: { user_id: userId } });
const memoriesStr = relevantMemories.results const memoriesStr = relevantMemories.results
.map(entry => `- ${entry.memory}`) .map(entry => `- ${entry.memory}`)
docs/cookbooks/essentials/building-ai-companion.mdx
+7 -14
View File
@@ -289,8 +289,7 @@ print([m["memory"] for m in constraints["results"]])
```python ```python
constraints = memory.search( constraints = memory.search(
query="injury concerns", query="injury concerns",
user_id="max", filters={"user_id": "max", "memory_bucket": {"in": ["constraints"]}},
filters={"memory_bucket": {"in": ["constraints"]}},
threshold=0.0 # optional: widen recall for short phrases threshold=0.0 # optional: widen recall for short phrases
) )
print([m["memory"] for m in constraints["results"]]) print([m["memory"] for m in constraints["results"]])
@@ -736,8 +735,7 @@ mem0_client.add(messages, user_id="max", run_id="nyc-2025")
# Retrieve only Boston memories # Retrieve only Boston memories
boston_memories = mem0_client.search( boston_memories = mem0_client.search(
"training plan", "training plan",
user_id="max", filters={"user_id": "max", "run_id": "boston-2025"}
run_id="boston-2025"
) )
``` ```
</Tab> </Tab>
@@ -749,8 +747,7 @@ memory.add(messages, user_id="max", run_id="nyc-2025")
# Retrieve only Boston memories # Retrieve only Boston memories
boston_memories = memory.search( boston_memories = memory.search(
"training plan", "training plan",
user_id="max", filters={"user_id": "max", "run_id": "boston-2025"},
run_id="boston-2025",
) )
``` ```
</Tab> </Tab>
@@ -846,8 +843,7 @@ Prioritize recent training over old data:
```python ```python
recent = mem0_client.search( recent = mem0_client.search(
"training progress", "training progress",
user_id="max", filters={"user_id": "max", "created_at": {"gte": "2025-10-01"}}
filters={"created_at": {"gte": "2025-10-01"}}
) )
``` ```
</Tab> </Tab>
@@ -866,8 +862,7 @@ memory.add(
cutoff = int(datetime(2025, 10, 1).timestamp()) cutoff = int(datetime(2025, 10, 1).timestamp())
recent = memory.search( recent = memory.search(
"training progress", "training progress",
user_id="max", filters={"user_id": "max", "logged_epoch": {"gte": cutoff}},
filters={"logged_epoch": {"gte": cutoff}},
) )
``` ```
</Tab> </Tab>
@@ -889,8 +884,7 @@ mem0_client.add(
# Later, find all speed workouts # Later, find all speed workouts
speed_sessions = mem0_client.search( speed_sessions = mem0_client.search(
"speed work", "speed work",
user_id="max", filters={"user_id": "max", "metadata": {"workout_type": "speed"}}
filters={"metadata": {"workout_type": "speed"}}
) )
``` ```
</Tab> </Tab>
@@ -905,8 +899,7 @@ memory.add(
# Later, find all speed workouts # Later, find all speed workouts
speed_sessions = memory.search( speed_sessions = memory.search(
"speed work", "speed work",
user_id="max", filters={"user_id": "max", "workout_type": "speed"},
filters={"workout_type": "speed"},
) )
``` ```
</Tab> </Tab>
docs/cookbooks/essentials/exporting-memories.mdx
+1
View File
@@ -58,6 +58,7 @@ Use `get_all()` with filters to retrieve everything for a specific user:
```python ```python
dev_memories = client.get_all( dev_memories = client.get_all(
filters={"user_id": "dev"}, filters={"user_id": "dev"},
page=1,
page_size=50 page_size=50
) )