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m3tm3re 44485c4c72 docs: update zellij-ps to reflect project switcher functionality

- Update package description and fix mainProgram typo
- Rewrite documentation to describe project switching, not process viewing
- Add PROJECT_FOLDERS configuration and usage examples
- Update all references across docs (README, guides, module overviews)

2025-12-30 15:42:52 +01:00

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mem0 NixOS Module

Mem0 REST API server module for AI memory management.

Overview

This module provides a systemd service for the Mem0 REST API server, enabling AI agents to maintain persistent memory across conversations.

Quick Start

{config, ...}: {
  imports = [m3ta-nixpkgs.nixosModules.mem0];

  m3ta.mem0 = {
    enable = true;
    port = 8000;
    llm = {
      provider = "openai";
      apiKeyFile = "/run/secrets/openai-api-key";
      model = "gpt-4o-mini";
    };
    vectorStore = {
      provider = "qdrant";
      config = {
        host = "localhost";
        port = 6333;
      };
    };
  };
}

Module Options

`m3ta.mem0.enable`

Enable the Mem0 REST API server.

Type: boolean
Default: false

`m3ta.mem0.package`

The mem0 package to use.

Type: package
Default: pkgs.mem0

`m3ta.mem0.host`

Host address to bind the server to.

Type: string
Default: "127.0.0.1"

`m3ta.mem0.port`

Port to run the REST API server on.

Type: port
Default: 8000

`m3ta.mem0.workers`

Number of worker processes.

Type: integer
Default: 1

`m3ta.mem0.logLevel`

Logging level for the server.

Type: enum ["critical" "error" "warning" "info" "debug" "trace"]
Default: "info"

`m3ta.mem0.stateDir`

Directory to store mem0 data and state.

Type: path
Default: "/var/lib/mem0"

`m3ta.mem0.user`

User account under which mem0 runs.

Type: string
Default: "mem0"

`m3ta.mem0.group`

Group under which mem0 runs.

Type: string
Default: "mem0"

`m3ta.mem0.environmentFile`

Environment file containing additional configuration.

Type: nullOr path
Default: null

LLM Configuration

`m3ta.mem0.llm.provider`

LLM provider to use.

Type: enum ["openai" "anthropic" "azure" "groq" "together" "ollama" "litellm"]
Default: "openai"

`m3ta.mem0.llm.model`

Model name to use.

Type: string
Default: "gpt-4o-mini"

`m3ta.mem0.llm.apiKeyFile`

Path to file containing the API key.

Type: nullOr path
Default: null
Example: "/run/secrets/openai-api-key"

`m3ta.mem0.llm.temperature`

Temperature parameter for LLM generation.

Type: nullOr float
Default: null

`m3ta.mem0.llm.maxTokens`

Maximum tokens for LLM generation.

Type: nullOr int
Default: null

`m3ta.mem0.llm.extraConfig`

Additional LLM configuration options.

Type: attrs
Default: {}

Vector Store Configuration

`m3ta.mem0.vectorStore.provider`

Vector database provider.

Type: enum ["qdrant" "chroma" "pinecone" "weaviate" "faiss" "pgvector" "redis" "elasticsearch" "milvus"]
Default: "qdrant"

`m3ta.mem0.vectorStore.config`

Configuration for the vector store.

Type: attrs
Default: {}

Example for Qdrant:

vectorStore.config = {
  host = "localhost";
  port = 6333;
  collection_name = "mem0_memories";
};

Example for pgvector:

vectorStore.config = {
  host = "localhost";
  port = 5432;
  dbname = "postgres";
  user = "postgres";
  password = "postgres";
};

Embedder Configuration

`m3ta.mem0.embedder.provider`

Embedding model provider.

Type: nullOr (enum ["openai" "huggingface" "ollama" "vertexai"])
Default: null

`m3ta.mem0.embedder.model`

Embedding model name.

Type: nullOr string
Default: null

`m3ta.mem0.embedder.config`

Configuration for the embedder.

Type: attrs
Default: {}

Usage Examples

Minimal Configuration

{config, ...}: {
  m3ta.mem0 = {
    enable = true;
  };
}

With OpenAI

{config, ...}: {
  m3ta.mem0 = {
    enable = true;
    llm = {
      provider = "openai";
      apiKeyFile = "/run/secrets/openai-api-key";
      model = "gpt-4";
    };
  };
}

With Local LLM (Ollama)

{config, ...}: {
  m3ta.mem0 = {
    enable = true;
    llm = {
      provider = "ollama";
      model = "llama2";
    };
  };
}

With Port Management

{config, ...}: {
  m3ta.ports = {
    enable = true;
    definitions = {
      mem0 = 8000;
    };
    currentHost = config.networking.hostName;
  };

  m3ta.mem0 = {
    enable = true;
    port = config.m3ta.ports.get "mem0";
  };
}

With Qdrant

{config, ...}: {
  m3ta.mem0 = {
    enable = true;
    vectorStore = {
      provider = "qdrant";
      config = {
        host = "localhost";
        port = 6333;
      };
    };
  };
}

services.qdrant = {
  enable = true;
  port = 6333;
};

With Secrets (agenix)

{config, ...}: {
  age.secrets.openai-api-key = {
    file = ./secrets/openai-api-key.age;
  };

  m3ta.mem0 = {
    enable = true;
    llm = {
      apiKeyFile = config.age.secrets.openai-api-key.path;
    };
  };
}

Service Management

Start/Stop/Restart

# Start service
sudo systemctl start mem0

# Stop service
sudo systemctl stop mem0

# Restart service
sudo systemctl restart mem0

# Check status
sudo systemctl status mem0

View Logs

# View logs
sudo journalctl -u mem0 -f

# View last 100 lines
sudo journalctl -u mem0 -n 100

Service File

The module creates a systemd service at /etc/systemd/system/mem0.service with:

Security hardening enabled
Automatic restart on failure
Proper user/group setup

API Usage

Add Memory

curl -X POST http://localhost:8000/v1/memories \
  -H "Content-Type: application/json" \
  -d '{
    "content": "User prefers coffee over tea",
    "metadata": {"user_id": "123"}
  }'

Search Memories

curl http://localhost:8000/v1/memories/search?q=coffee

Update Memory

curl -X PATCH http://localhost:8000/v1/memories/memory_id \
  -H "Content-Type: application/json" \
  -d '{
    "content": "User prefers coffee over tea, but also likes chai"
  }'

Delete Memory

curl -X DELETE http://localhost:8000/v1/memories/memory_id

Dependencies

Required Services

Depending on your configuration, you may need:

qdrant service (if using qdrant vector store)
postgresql with pgvector (if using pgvector)
chroma service (if using chroma)
ollama (if using local LLMs)

Example: Qdrant

services.qdrant = {
  enable = true;
  port = 6333;
};

Example: PostgreSQL

services.postgresql = {
  enable = true;
  enableTCPIP = true;
  package = pkgs.postgresql_15;

  extensions = ["pgvector"];

  settings = {
    port = 5432;
  };
};

Firewall

The module automatically opens the firewall port if binding to non-localhost addresses:

# Opens port if host is not "127.0.0.1" or "localhost"
m3ta.mem0 = {
  enable = true;
  host = "0.0.0.0";  # Binds to all interfaces
  port = 8000;
};
# Firewall automatically opens port 8000

Security

User/Group

Creates dedicated user and group:

User: mem0
Group: mem0
Home: /var/lib/mem0

Hardening

Systemd service includes security hardening:

NoNewPrivileges
PrivateTmp
ProtectSystem=strict
ProtectHome=true
RestrictRealtime=true
RestrictNamespaces=true
LockPersonality=true

Secrets

Use apiKeyFile for API keys instead of plain text:

# Good
llm.apiKeyFile = "/run/secrets/openai-api-key";

# Bad (insecure)
llm.apiKey = "sk-xxx";

Troubleshooting

Service Won't Start

Check logs:

sudo journalctl -u mem0 -n 50

Common issues:

API key missing: Ensure apiKeyFile exists and is readable
Vector store unavailable: Ensure qdrant/other store is running
Port in use: Check if port is available

API Not Responding

Check service status:

sudo systemctl status mem0

# Check if port is open
ss -tuln | grep 8000

Memory Issues

Increase memory limit in systemd override:

sudo systemctl edit mem0

[Service]
MemoryMax=2G

mem0 Package - Package documentation
Port Management Guide - Using with port management
Using Modules Guide - Module usage patterns

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