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roampal-ai/roampal-core

by Various

Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.

R

MCP

roampal-ai/roampal-core

Added 1 June 2026

#agent-memory #ai-assistant #ai-coding #ai-coding-assistant #ai-memory #ai-tools #chromadb #claude-code

Overview

roampal-core is an MCP server that provides outcome-based persistent memory for Claude Code and OpenCode. It promotes advice that leads to good outcomes and demotes advice that leads to bad ones, improving over time. Install via pip.

Best for

Best for
Developers using Claude Code or OpenCode who want a self-improving memory layer that learns from outcomes

Use cases

  • Enhancing Claude Code with a memory of past successful solutions
  • Persistently improving code review suggestions based on outcome feedback
  • Reducing repetitive bad advice in OpenCode conversations

Notes

roampal-core is an MCP server that provides outcome-based persistent memory for Claude Code and OpenCode. It promotes advice that leads to good outcomes and demotes advice that leads to bad ones, improving over time. Install via pip.

46 stars on GitHub. Last updated 2026-05-12. Licensed Apache-2.0.

Use cases

  • Enhancing Claude Code with a memory of past successful solutions
  • Persistently improving code review suggestions based on outcome feedback
  • Reducing repetitive bad advice in OpenCode conversations

Pros

  • Persistent memory that adapts to real outcomes, not just prompts
  • Simple pip install and open source (46 stars)
  • Designed specifically for popular code assistants Claude Code and OpenCode

Cons

  • Limited adoption and community support (46 stars)
  • Only works within the Claude Code and OpenCode ecosystems
  • Requires proper MCP server setup and API access

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Persistent memory that adapts to real outcomes, not just prompts
  • Simple pip install and open source (46 stars)
  • Designed specifically for popular code assistants Claude Code and OpenCode

Cons

  • Limited adoption and community support (46 stars)
  • Only works within the Claude Code and OpenCode ecosystems
  • Requires proper MCP server setup and API access

Pairs with

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