Roampal

소개

AI coding assistants typically forget everything between sessions, requiring users to repeatedly explain architecture, preferences, and conventions. Roampal solves this by providing outcome-based memory, where good advice is promoted and bad advice is demoted, leading to continuous improvement. It automatically injects relevant context—including history, preferences, proven solutions, and ingested documents—into your AI's input without requiring manual calls or workflow changes. This creates a powerful learning loop, enabling your AI to operate with full awareness and become significantly smarter with every interaction, ensuring it remembers you and your project's nuances permanently.

주요 기능

• Outcome-based AI memory that promotes good advice and demotes bad
• Persistent memory across sessions with five distinct collections (working, history, patterns, memory_bank, books)
• Fully local and private data storage with a self-healing server
• 32 GitHub stars
• Automatic context injection for Claude Code and OpenCode
• API for AI to manage memory (add, update, delete, search, score responses)

사용 사례

• Improving AI's advice quality by allowing it to learn from past outcomes and mistakes across sessions
• Preventing AI coding assistants from repeatedly forgetting architectural details, preferences, and conventions
• Providing AI with permanent access to user identity, personal preferences, goals, and custom documentation