Roampal

v1.0.0Knowledge & Memorystable

Memory that learns what works.

ai-assistantai-memorychromadbdesktop-appllm
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What is Roampal?

Roampal is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to memory that learns what works.

Memory that learns what works.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Memory that learns what works.

Use Cases

AI memory learning system
Local LLM integration
Persistent knowledge base
roampal-ai

Maintainer

LicenseNOASSERTION
Languagepython
Versionv1.0.0
UpdatedMay 18, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx roampal

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Roampal

Roampal is a local-first AI desktop application with a built-in MCP server that provides persistent, outcome-based memory across conversations. Its 5-tier memory architecture (Books, Working, History, Patterns, and a permanent Memory Bank) uses TagCascade retrieval with cross-encoder reranking to surface the most relevant memories, and automatically scores results (+0.2 for success, -0.3 for failure) so good advice is promoted and bad advice auto-deletes. By exposing 7 MCP tools, Roampal lets Claude Desktop, Cursor, and other MCP clients read and write to a continuously learning memory store that runs 100% locally with no telemetry.

Prerequisites

  • Windows operating system (Roampal is currently a Windows desktop app)
  • Ollama or LM Studio installed for local model serving
  • A local tool-calling model downloaded (e.g., Llama 3.x, Qwen 2.5, or Mistral via Ollama)
  • An MCP-compatible client such as Claude Desktop or Cursor
1

Download and install Roampal

Download the pre-built installer from roampal.ai and extract it. Run Roampal.exe as administrator for the first launch.

2

Install and start a local model provider

Install Ollama or LM Studio and pull a tool-calling model. Roampal works with Llama 3.x, Qwen 2.5, Mistral/Mixtral, and other models available via Ollama.

# With Ollama
ollama pull llama3.2
ollama serve
3

Download a model inside Roampal

After launching Roampal, use the built-in model download UI to pull the model you want to use for the sidecar memory summarization process.

4

Enable MCP integration

In Roampal, navigate to Settings > Integrations > Connect. This generates the MCP server configuration. Restart your MCP client (Claude Desktop or Cursor) after enabling.

5

Add Roampal to your MCP client config

Use the configuration provided by Roampal's integration panel. The server exposes 7 tools: search_memory, add_to_memory_bank, update_memory, archive_memory, get_context_insights, record_response, and score_memories.

{
  "mcpServers": {
    "roampal": {
      "command": "npx",
      "args": ["roampal"]
    }
  }
}

Roampal Examples

Client configuration

Basic MCP client configuration for connecting to the Roampal memory server. Check the Roampal integration panel for the exact command it generates for your installation.

{
  "mcpServers": {
    "roampal": {
      "command": "npx",
      "args": ["roampal"]
    }
  }
}

Prompts to try

Example prompts that read from, write to, and score Roampal's persistent memory across conversations.

- "Search my memory for anything I've saved about Python testing best practices"
- "Add to my memory bank that I prefer pytest over unittest and always use fixtures for setup"
- "Record that the last solution you gave me for database migrations worked perfectly"
- "Get context insights for the current project to see what patterns Roampal has learned"
- "Archive the memory about the old webpack config since we've switched to Vite"

Troubleshooting Roampal

Roampal MCP tools are not visible in Claude Desktop

After enabling the integration in Settings > Integrations > Connect, you must fully restart Claude Desktop (not just reload). The MCP server process is started by Roampal on connection.

Memory search returns few or irrelevant results

Roampal's TagCascade retrieval improves over time as the sidecar LLM extracts facts and tags from conversations. Ensure the background model is running in Ollama or LM Studio, and give the system a few conversations to build up the memory store.

ChromaDB phantom-handling or startup errors

Roampal v0.3.3 includes fixes for ChromaDB phantom-handling (issue #8). If you see database errors, update to the latest version from roampal.ai and ensure Roampal.exe is run as administrator on first launch.

Frequently Asked Questions about Roampal

What is Roampal?

Roampal is a Model Context Protocol (MCP) server that memory that learns what works. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Roampal?

Follow the installation instructions on the Roampal GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Roampal?

Roampal works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Roampal free to use?

Yes, Roampal is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "roampal": { "command": "npx", "args": ["-y", "roampal"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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