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roampal-core

Active·★ 46·Apache-2.0·Updated 2026-05-12
★ Trending★ Code Assistant★ RAG / Knowledge Base

Outcome-based memory for Claude Code and OpenCode

Roampal Core provides outcome-based memory for AI coding assistants, enabling them to learn and improve their advice across multiple sessions. It automatically injects relevant context into conversations, promoting good advice and demoting bad advice to make the AI smarter over time.

#AI Memory
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$ Install
$ pip install roampal && roampal init
↗ Visit site★ GitHub
01

Features

01Implements an outcome-based memory system that learns from good and bad advice, making the AI smarter over time.
02Automatically and seamlessly injects relevant context into AI coding assistant conversations without manual intervention.
03Utilizes five distinct memory collections (working, history, patterns, memory_bank, books) to ensure persistent learning across sessions.
04Allows ingestion of external reference documents ('books' collection) that are permanently searchable by the AI.
05Compatible with popular AI coding tools such as Claude Code and OpenCode, with platform-specific integration mechanisms.
02

Compatibility

Python
Runtime
Verified via docs
Claude Code
AI Tool
Verified via docs
OpenCode
AI Tool
Verified via docs
Windows
OS
Verified via docs
macOS
OS
Verified via docs
Linux
OS
Verified via docs
03

Quick start

1
$ pip install roampal
2
$ roampal init
04

Use cases

↳Enhancing AI coding assistants to remember architecture, preferences, and conventions across different sessions.
↳Improving the quality of AI-generated code and suggestions by learning from past outcomes (promoting good, demoting bad).
↳Providing AI with a searchable personal knowledge base from uploaded documentation for development tasks.
↳Reducing the need to repeat context to AI coding tools, enabling more efficient and productive coding sessions.
05

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Related searches

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Comments

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  • E
    Ellis JohnsonMay 12, 2026

    Outcome-based memory for Claude Code is a refreshing framing compared to simple storage

  • S
    Sage RiveraApr 23, 2026

    Works well with OpenCode too, the cross-tool memory is genuinely useful

  • J
    Justice GarciaMar 21, 2026

    Used across multiple projects, the outcome-focused context improves decision quality

  • E
    Elliot NguyenMar 11, 2026

    The memory model tracks what worked, not just what happened

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01Features02Compatibility03Quick start04Use cases05Alternatives
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2w ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+1.8↑ 0.7%
Links
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