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docs: new algorithm migration guides + memory evaluation (#4811)

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Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
Co-authored-by: Saket Aryan <saketaryan2002@gmail.com>
This commit is contained in:
Chaithanya Kumar
2026-04-16 17:13:13 +05:30
committed by GitHub
parent 50db9e428d
commit 30469aec17
69 changed files with 2054 additions and 2066 deletions
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docs/cookbooks/essentials/building-ai-companion.mdx
+9 -9
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@@ -62,7 +62,7 @@ mem0_client = MemoryClient(api_key="your-mem0-key")
def chat(user_input, user_id):
# Retrieve relevant memories
memories = mem0_client.search(user_input, user_id=user_id, limit=5)
memories = mem0_client.search(user_input, filters={"user_id": user_id}, top_k=5)
context = "\\n".join(m["memory"] for m in memories["results"])
# Call LLM with memory context
@@ -123,7 +123,7 @@ ollama_chat = OpenAI(base_url=f"{OLLAMA_URL}/v1", api_key="ollama")
def chat(user_input, user_id):
# Retrieve relevant memories
memories = memory.search(user_input, user_id=user_id, limit=5)
memories = memory.search(user_input, filters={"user_id": user_id}, top_k=5)
context = "\n".join(m["memory"] for m in memories["results"])
# Call LLM with memory context (Ollama via OpenAI-compatible API)
@@ -319,7 +319,7 @@ print([m["memory"] for m in memories["results"]])
</Tab>
<Tab title="Open Source">
```python
memories = memory.get_all(user_id="max")
memories = memory.get_all(filters={"user_id": "max"})
print([m["memory"] for m in memories["results"]])
# Output: ["Max wants to run marathon under 4 hours", "hey", "lol ok", "cool thanks", "gtg bye"]
```
@@ -397,7 +397,7 @@ print([m["memory"] for m in memories["results"]])
chat("hey how's it going", user_id="max")
chat("I prefer trail running over roads", user_id="max")
memories = memory.get_all(user_id="max")
memories = memory.get_all(filters={"user_id": "max"})
print([m["memory"] for m in memories["results"]])
# Output: ["Max wants to run marathon under 4 hours", "Max prefers trail running over roads"]
```
@@ -446,7 +446,7 @@ Retrieve agent style alongside user memories:
<Tab title="Platform">
```python
# Get coach personality
agent_memories = mem0_client.search("coaching style", agent_id="ray_coach")
agent_memories = mem0_client.search("coaching style", filters={"agent_id": "ray_coach"})
# Output: ["Max wants direct, data-driven feedback. Skip motivational language."]
# Store conversations with agent_id
@@ -459,7 +459,7 @@ mem0_client.add([
<Tab title="Open Source">
```python
# Get coach personality
agent_memories = memory.search("coaching style", agent_id="ray_coach")
agent_memories = memory.search("coaching style", filters={"agent_id": "ray_coach"})
# Output: ["Max wants direct, data-driven feedback. Skip motivational language."]
# Store conversations with agent_id
@@ -706,13 +706,13 @@ memory.add(
<Tabs>
<Tab title="Platform">
```python
memories = mem0_client.search("training plan", user_id="max", limit=5)
memories = mem0_client.search("training plan", filters={"user_id": "max"}, top_k=5)
# Gets: marathon goal, trail preference, ankle injury (if still valid)
```
</Tab>
<Tab title="Open Source">
```python
memories = memory.search("training plan", user_id="max", limit=5)
memories = memory.search("training plan", filters={"user_id": "max"}, top_k=5)
# Gets: marathon goal, trail preference, ankle injury (if still valid / not pruned)
```
</Tab>
@@ -806,7 +806,7 @@ mem0_client.update(goal_memory["id"], "Max wants to run sub-3:45 marathon")
<Tab title="Open Source">
```python
# Find the old memory
memories = memory.get_all(user_id="max")
memories = memory.get_all(filters={"user_id": "max"})
goal_memory = [m for m in memories["results"] if "sub-4" in m["memory"]][0]
# Update it