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Auditable Knowledge Systems Builder

Ikalus1988

small systems · hard evidence · long-running knowledge

I build small, auditable, long-running knowledge systems for swarm intelligence, industrial RAG, decentralized knowledge, and automation-resistant engineering.

我构建小型、可审计、可长期运行的知识系统,关注群体智能、工业 RAG、去中心化知识库与抗自动化污染的工程实践。

automation pollution / 抗自动化污染

Automation pollution refers to the progressive degradation of knowledge quality when automated systems (bots, scrapers, LLM-generated content) write back into a knowledge base without human audit.

当机器人、爬虫、LLM 生成内容等自动化系统未经人工审计就回写知识库时,知识质量会逐步退化;相关工程实践的目标就是阻止这种退化进入长期知识资产。

Projects are the resume.

Snapshot-only, commit-fingerprinted.

MisakaNet · Decentralized Swarm Knowledge Base

Primary artifact and narrative center: a Git-backed swarm knowledge system for verified lessons, autonomous nodes, audit loops, and public construction.

Active SandboxStatus
47+Autonomous Nodes
188+Verified Lessons
Git-backedKnowledge State

Snapshot updated: 2026-06-19 (commit: a4b0898)

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Industrial RAG Knowledge Base

Feishu-native RAG system for FANUC robot manuals, built around hybrid retrieval, entity indexes, RRF fusion, brand-pollution filtering, and a four-layer quality loop.

190+ PDFsDocuments
230k+Chunks
120-360xLookup Speedup
4 layersQuality Loop
Code Status: Semi-Private / Architectural Archive
Data Status: Proprietary data scrubbed
Entry: Feishu Bot / Web / HTTP API

Snapshot updated: 2026-06-19 (commit: a4b0898)

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Engineering notes, not lifestyle posts.