README.md

metadata

title: 🧠 MemMachine Playground – AI Memory for LLMs & Agents
emoji: 🧠
colorFrom: green
colorTo: gray
sdk: docker
pinned: true
short_description: Official MemMachine playground for AI, agent memory for LLMs
app_port: 7860
hf_oauth: true
hf_oauth_scopes:
  - email
hf_oauth_authorized_org:
  - Memverge
tags:
  - ai-memory
  - persistent-memory
  - agent-memory
  - multi-llm
  - llm-playground
  - ai-agents
  - memory
  - chatbot
  - open-source
  - agents
license: apache-2.0

🧠 MemMachine Playground

This is the official interactive playground for MemMachine (memmachine.ai) — the universal memory layer for AI agents

A powerful playground for experimenting with various Large Language Models (LLMs) enhanced by MemMachine's persistent memory system. Compare conversations with and without memory to see how AI memory transforms your interactions.

✨ Features

• Multiple LLM Providers: OpenAI, Anthropic (Claude), AWS Bedrock and more
• Persistent Memory: AI remembers your conversations across sessions
• Profile Memory: Builds a personalized profile of you over time
• Episodic Memory: Remembers specific conversations and context
• Secure Authentication: Token-based authentication to protect your memories
• Session Management: Create and manage multiple conversation sessions

🚀 Getting Started

Step 1: Create a Hugging Face Read Token

To authenticate and access your personalized memories, you'll need a Hugging Face access token:

1. Go to Hugging Face Settings

   • Visit: https://huggingface.co/settings/tokens
   • Or click your profile → Settings → Access Tokens

2. Create a New Token

   • Click "New token" button
   • Name: Enter a descriptive name (e.g., "MemMachine Playground")
   • Role: Select "Read" (this is sufficient for authentication)
   • Click "Generate token"

3. Copy Your Token

   • ⚠️ Important: Copy the token immediately (it starts with hf_)
   • You won't be able to see it again after closing the page
   • Store it securely

Step 2: Authenticate in the App

1. Open the Playground

   • The app will prompt you to authenticate on first use

2. Enter Your Token

   • Paste your Hugging Face Read token in the authentication field
   • Click "Authenticate"
   • Your username will be automatically detected and locked

3. Start Chatting

   • Your memories are now personalized to your account
   • All conversations are stored securely under your username

💡 How to Use

Basic Usage

1. Choose a Model

   • Select from the dropdown in the sidebar
   • Models include GPT-4, Claude, Bedrock, and more

2. Start a Conversation

   • Type your message in the chat input
   • The AI will respond using your memory context

3. Compare with Memory

   • Toggle "Compare with Control persona" to see responses with/without memory
   • See how memory enhances the AI's understanding

🔍 Keywords (for discoverability)

Core concepts

• AI memory
• Persistent memory for LLMs
• Agent memory
• Memory for AI agents

Use cases

• AI agents with memory
• Long-term memory for LLMs

Product & platform

• Multi-LLM playground
• MemMachine AI memory
• LLM memory

Advanced Features

• Multiple Sessions: Create different conversation sessions for different topics
• Persona Selection: Test with different user personas (Charlie, Jing, Charles, Control)
• Profile Management: View and delete your AI profile when needed
• Memory Search: The AI searches your past conversations for relevant context

🔒 Security & Privacy

• Token Authentication: Your Hugging Face token is used only to identify your username
• Session-Only Storage: Tokens are stored only in your browser session
• Isolated Memories: Each user's memories are completely isolated
• No Token Sharing: Your token is never shared or stored permanently

🏗️ Architecture

• Frontend: Streamlit (runs in this Hugging Face Space)
• Backend: MemMachine server running on EC2
• Memory Storage: Neo4j (graph) + Postgres (vector search)
• Authentication: Hugging Face token-based authentication

📝 Notes

• Token Expiration: Read tokens don't expire automatically - they remain valid until you revoke them
• Memory Persistence: Your memories are tied to your username, not your token. You can create new tokens without losing memories
• Rate Limiting: The backend implements rate limiting (50 requests/minute) to prevent abuse

🆘 Troubleshooting

"Invalid token" error?

• Make sure you copied the entire token (including hf_ prefix)
• Verify the token has "Read" permissions
• Try creating a new token if the issue persists

Can't see my memories?

• Ensure you're authenticated with the same username
• Memories are stored per username, not per token

Need help?

• Check that your token has Read permissions
• Verify you're using a valid Hugging Face account

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