alfredolopez80/multi-agent-ralph-loop — Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 81…

Description and use

Alfredolopez80/multi-agent-ralph-loop turns isolated prompts and tools into repeatable, self‑learning agent workflows by providing an autonomous orchestration layer with a MemPalace‑style memory stack, parallel‑first agent teams, and built‑in quality gates. Teams can adopt it by installing the Shell‑based CLI/SDK, wiring existing tools into the provided hook system, and leveraging the automatic learning pipeline to refine agent behavior over time. While the project shows strong signal activity (925+ tests, 22 hooks, regular updates) and is suitable for prototypes or internal automation, production use should first verify its license, security posture, and maintainer support.

Problem

alfredolopez80/multi-agent-ralph-loop helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.

Source