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Posted on • Originally published at mrmemory.dev

Create two AI agents: Alex (Technical Architect) and Sam (Full-Stack Developer)

#ai #mrmemory

Managing Complex Conversations

Traditional large language models (LLMs) lack state, making it difficult to maintain context and recall previous interactions. But what if your AI agents could remember past conversations and build upon them? This is achievable with MrMemory's persistent memory feature, which allows agents to recall previous interactions across sessions.

Imagine a software consulting team of AI agents that can provide more intelligent and context-aware responses by recalling past conversations. Let's explore how to integrate MrMemory with AutoGen to create multi-agent memory-enhanced AI agents.

Setting up MrMemory with AutoGen

To get started, install the required dependencies:

pip install mrmemory autogen-agentchat
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Next, initialize the MrMemory client using your API key:

from mrmemory import MrMemory
client = MrMemory(api_key="your-key")
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Now you can use MrMemory's API to remember conversations and recall previous interactions. For example:

client.remember("user prefers dark mode", tags=["preferences"])
results = client.recall("what theme does the user like?")
print(results) # Output: "dark mode"
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Implementing Multi-Agent Conversations

To implement multi-agent conversations, you'll need to create multiple AI agents with distinct roles. In this example, we'll use AutoGen's ConversableAgent class:

from autogen import ConversableAgent

# Create two AI agents: Alex (Technical Architect) and Sam (Full-Stack Developer)
alex = ConversableAgent("Alex", system_message="You are a Technical Architect.")
sam = ConversableAgent("Sam", system_message="You are a Full-Stack Developer.")

# Initialize the memory system
client.remember("conversation 1", agents=[alex, sam])
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Comparison with Alternatives

While Mem0 and Zep offer some memory capabilities, they lack the flexibility and scalability of MrMemory. MemGPT is a self-hosted solution that requires significant infrastructure investment.

Feature MrMemory Mem0 Zep MemGPT
Persistent Memory
Multi-Agent Support
Scalability

Conclusion

In this tutorial, we demonstrated how to integrate MrMemory with AutoGen to create multi-agent memory-enhanced AI agents. With MrMemory's persistent memory feature and AutoGen's conversational capabilities, you can build intelligent and context-aware AI agents that recall previous interactions across sessions.

Try MrMemory today and give your AI agents some real-world experience.

Get started with MrMemory:

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