Show HN:通过 LLM-wiki 提升编程框架 10 倍性能
Show HN: 10x better performance from the Coding Harnesses with LLM-wiki

原始链接: https://llm-wiki.net/

该系统将研究组织成一种分层模块化结构,以中央枢纽和相互隔离的主题维基为核心。 **关键组件:** * **枢纽与主题:** 枢纽充当注册表,而相互隔离的主题维基可防止研究内容交叉污染。每个主题独立管理其来源、文章和配置。 * **数据完整性:** 原始资料具有不可变性,为所有主张提供可靠的审计追踪。维基文章通过双向链接格式和置信度评分,将这些数据综合归类(概念、主题、参考文献)。 * **操作层级:** * **清单:** 跟踪任务、实体和未决问题,不作为事实依据引用。 * **会话:** 作为瞬时操作记忆。 * **数据集:** 清单索引大型外部文件,避免重复。 * **自动化:** 系统依赖自动生成的 `_index.md` 文件,使代理能够高效读取,无需盲目扫描。 * **输出与审计:** 生成的产物(报告、计划)基于现有的维基内容构建。系统支持完整的“审计遍历”,允许用户通过维基的底层证据回溯任何输出,以验证其来源或在数据过时时触发新的研究。

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原文

The hub (~/wiki/) is just a registry. No content — only wikis.json, _index.md, and log.md. All content lives in topic sub-wikis.

Topic wikis (~/wiki/topics/<name>/) are isolated research areas. Each has its own sources, articles, outputs, and Obsidian vault config. Isolation means researching quantum computing can't pollute your nutrition wiki.

Raw sources (raw/) are immutable. Once a paper, article, or data file is ingested, it's never modified. This is the audit trail — every claim in every article traces back to a source.

Wiki articles (wiki/) are LLM-compiled syntheses organized into three categories:

  • Concepts — foundational ideas, mechanisms, theories
  • Topics — specific subjects, comparisons, state-of-the-field
  • References — tools, frameworks, data tables, lookup resources

Archive (topics/.archive/) is for whole topic wikis the user no longer wants in normal context. It preserves source history, articles, outputs, and logs while keeping old interests quiet by default.

Sessions (HUB/.sessions/) are operational memory for redacted harness checkpoints, compact digests, rehydration indexes, and feedback candidates. They are not compiled as topic evidence unless explicitly promoted into raw/notes/.

Inventory (inventory/) is for durable operational state: actual items, source candidates, corpora, entities, open questions, tasks, watch items, and next actions. It is intentionally not evidence for factual claims.

Dataset manifests (datasets/) let the wiki index large or external data without copying it into raw/. Manifests can point to local paths, URLs, archives, samples, profiles, and query recipes.

Articles use dual-link format: [[wikilink]] for Obsidian + standard markdown links for everything else. Confidence scores (high/medium/low) reflect source quality and corroboration.

Indexes (_index.md) exist in every directory. They're derived caches — rebuilt automatically from file frontmatter. The agent reads indexes first and never scans blindly.

Outputs (output/) are generated artifacts: reports, slide outlines, study guides, implementation plans. They're built from wiki articles, so every output compounds on all prior research.

Audit walks that full artifact graph. It can trace an output back through the wiki state and raw sources it depended on, then escalate into fresh research when the stored evidence is stale or incomplete.

联系我们 contact @ memedata.com