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Show HN: 10x better performance from the Coding Harnesses with LLM-wiki

Quality: 8/10 Relevance: 9/10

Summary

LLM-wiki is presented as a MIT-licensed framework that orchestrates parallel multi-agent research to ingest, compile, audit, and output wiki-based artifacts from AI agents. The article outlines the architecture and modules (Ingest, Compile, Query, Sessions, Audit, Librarian) and describes runtimes across Claude Code, OpenAI Codex, OpenCode, Pi, and portable AGENTS.md. It also covers workflow features like plan-based research, memory management, and various output formats such as reports, study guides, and implementation plans.

🚀 Service construit par Johan Denoyer