Date: 2026.01.27
Focus: Forensic audit of the "Ralph Wiggum Loop" codebase
This report analyzes the structural evolution and technical "DNA" of Wreckit, identifying the legacy layers and the strategic impact of the new RLM architecture.
Date: 2026.01.27
Focus: Forensic audit of the "Ralph Wiggum Loop" codebase
This report analyzes the structural evolution and technical "DNA" of Wreckit, identifying the legacy layers and the strategic impact of the new RLM architecture.
Generate NeurIPS-format research papers using Denario with Zhipu GLM models (cheaper alternative to OpenAI/Gemini).
# 1. Create virtual environment
python3.12 -m venv ~/denario_env
source ~/denario_env/bin/activateSingle source of truth for all infrastructure, credentials, and connection details
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β HOME NETWORK (192.168.1.x) β
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Natural language CI/CD execution: Claude Desktop β Apollo MCP Server β Dagger GraphQL API
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β Claude Desktop ββββββΆβ Apollo MCP ββββββΆβ Dagger GraphQL β
β (Natural Lang) β β Server β β Server β
Monetize your AI video knowledge by building a content distribution system that:
| # Dockerfile for Letta with claude-max-router support | |
| # This image patches Letta to accept custom model endpoint types | |
| ARG LETTA_VERSION=latest | |
| FROM letta/letta:${LETTA_VERSION} | |
| LABEL maintainer="Letta MAS Admin" | |
| LABEL description="Letta with claude-max-router endpoint support" | |
| # Patch llm_config.py to add claude-max-router to allowed endpoint types |