Roampal Outcome-Based Memory

Example Use Cases

• 1

  Persistent memory of user preferences and past interactions across sessions.

• 2

  Automatic context injection to improve response relevance without manual input.

• 3

  Outcome-based learning to promote good advice and demote bad advice automatically.

Description

Roampal is an MCP server that enables AI coding assistants like Claude Code and OpenCode to remember user preferences, past conversations, and proven solutions automatically. It injects relevant context into each session, promotes good advice, and demotes bad advice to improve AI responses over time without workflow changes. The system supports multiple memory collections and offers tools for deep memory search, updating, and scoring outcomes to create a smarter AI assistant experience.