mem0-local-hermes-plugin/after-install.md

Mem0 Local Plugin Installed ✓

Quick Start

1. Verify Mem0 Server is Running

curl http://localhost:8000/health

If not running:

docker run -d -p 8000:8000 mem0ai/mem0:latest

For your setup on 10.0.0.150:8889:

curl http://10.0.0.150:8889/health

2. Configure the Plugin

The installer should have prompted you for configuration. To verify or modify:

nano ~/.hermes/.env

Add or update:

MEM0_BASE_URL=http://10.0.0.150:8889
MEM0_USER_ID=henry_hofmann
MEM0_AGENT_ID=hermes

Or create a config file:

cat > ~/.hermes/mem0-local.json << 'EOF'
{
  "base_url": "http://10.0.0.150:8889",
  "user_id": "henry_hofmann",
  "agent_id": "hermes",
  "rerank": true,
  "timeout": 10.0
}
EOF

3. Restart Hermes Gateway

hermes gateway restart

4. Activate Memory Provider

hermes memory mem0-local

Verify it's active:

hermes memory status

Configuration

The plugin supports two configuration methods that work together:

Method 1: Environment Variables (Primary)

Edit ~/.hermes/.env:

MEM0_BASE_URL=http://10.0.0.150:8889
MEM0_USER_ID=henry_hofmann
MEM0_AGENT_ID=hermes

Method 2: Config File (Overrides)

Create ~/.hermes/mem0-local.json to override specific settings:

{
  "base_url": "http://10.0.0.150:8889",
  "user_id": "henry_hofmann",
  "agent_id": "hermes",
  "rerank": true,
  "timeout": 10.0
}

Note: Config file values override environment variables. Use .env for defaults and JSON for overrides.

Key variables:

• MEM0_BASE_URL — Local server URL (your setup: http://10.0.0.150:8889)
• MEM0_USER_ID — User identifier for memory scoping (your setup: henry_hofmann)
• MEM0_AGENT_ID — Agent identifier (default: hermes)
• rerank — Enable reranking for higher precision (default: true)
• timeout — Request timeout in seconds (default: 10.0)

How It Works

Memory injection happens automatically without tool calls:

1. You send a message
2. Plugin searches Mem0 in background (~40ms)
3. Relevant memories injected into LLM prompt
4. LLM responds with full context

Example: If you stored "My favorite anime is Naruto", then ask "Is there a new episode of my favorite anime?", the LLM will receive:

Is there a new episode of my favorite anime?

## Mem0 Memory
- My favorite anime is Naruto

No tool call needed — instant context!

Migration from Hardcoded Config

Your previous hardcoded configuration:

mem0:
  enabled: true
  api_url: http://localhost:8889
  user_id: henry_hofmann
  collection_name: hermes_memory 
mode: local
  transparent:
    enabled: true
    search_threshold: 0.6
    max_results: 3
    include_match_score: true
    injection_format: system_context 

Is now replaced by the plugin with:

• Same functionality via MEM0_BASE_URL, MEM0_USER_ID
• Transparent memory injection via queue_prefetch() + prefetch()
• Configurable via ~/.hermes/mem0-local.json

Note: The plugin uses a slightly different approach - memories are injected into the user message (not system prompt) to preserve prompt caching efficiency.

Next Steps

• Start a conversation and mention personal facts
• Mem0 will automatically extract and store them
• Try asking questions that require remembering past conversations
• Use mem0_profile tool to see all stored memories

Troubleshooting

If memory doesn't work:

1. Check server connectivity:

   curl http://10.0.0.150:8889/health
   

2. Check gateway logs:

   hermes gateway logs
   

3. Verify provider is active:

   hermes memory status
   

4. Check plugin is loaded:

   hermes plugins list
   

5. Test manual memory operations:

   # In a conversation, ask Hermes to:
   - "Store that my favorite color is blue"
   - "What's my favorite color?"
   

Available Tools

Tool	Description
mem0_profile	Retrieve all stored memories
mem0_search	Search memories semantically
mem0_conclude	Store a fact explicitly

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Enjoy your private, self-hosted memory! 🚀