docs(cookbooks): repair dead references and label OSS vs Platform support (#6909)

This commit is contained in:
Kartik
2026-08-14 16:50:46 +05:30
committed by GitHub
parent c50a2bfb8f
commit a0329f047b
31 changed files with 148 additions and 38 deletions
@@ -3,6 +3,9 @@ title: Persistent Eliza Characters
description: "Bring persistent personality to Eliza OS agents using Mem0."
---
<Info icon="cloud">
**Works with:** Mem0 Platform
</Info>
You can create a personalized Eliza OS Character using Mem0. This guide will walk you through the necessary steps and provide the complete code to get you started.
@@ -3,6 +3,10 @@ title: "Gemini 3 with Mem0 MCP"
description: "Create snappy, smart, memory-aware agents by pairing Gemini 3 with Mem0 MCP server."
---
<Info icon="cloud">
**Works with:** Mem0 Platform (MCP server)
</Info>
Gemini 3, when paired with Mem0's cloud MCP server, works in synergy to create snappy, smart, memory-aware agents.
<Callout type="info" icon="sparkles" color="#8B5CF6">
@@ -3,6 +3,9 @@ title: Multi-Agent Collaboration
description: "Share a persistent memory layer across collaborating LlamaIndex agents."
---
<Info icon="cloud">
**Works with:** Mem0 Platform (`Mem0Memory.from_client`)
</Info>
<Snippet file="blank-notif.mdx" />
@@ -3,6 +3,9 @@ title: ReAct Agents with Memory
description: "Teach a ReAct agent to store and recall context via Mem0."
---
<Info icon="cloud">
**Works with:** Mem0 Platform (`Mem0Memory.from_client`)
</Info>
Create a ReAct Agent with LlamaIndex which uses Mem0 as the memory store.
@@ -78,7 +81,7 @@ from llama_index.core.agent import FunctionCallingAgent
agent = FunctionCallingAgent.from_tools(
[call_tool, email_tool, order_food_tool],
llm=llm,
memory=memory_from_client, # or memory_from_config
memory=memory_from_client,
verbose=True,
)
```
@@ -161,7 +164,7 @@ agent = FunctionCallingAgent.from_tools(
[call_tool, email_tool, order_food_tool],
llm=llm,
# memory is provided
memory=memory_from_client, # or memory_from_config
memory=memory_from_client,
verbose=True,
)
response = agent.chat("I am feeling hungry, order me something and send me the bill")
@@ -3,6 +3,9 @@ title: Visual Memory Retrieval
description: "Store and recall visual context alongside text conversations."
---
<Info icon="cloud">
**Works with:** Mem0 Platform
</Info>
Enhance your AI interactions with Mem0's multimodal capabilities. Mem0 now supports image understanding, allowing for richer context and more natural interactions across supported AI platforms.