Ingest raw sources into an interlinked markdown knowledge base.
npx skills add https://github.com/heysuhas/hermes_cli --skill llm-wiki-heysuhas
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/heysuhas/hermes_cli/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/heysuhas/hermes_cli --skill llm-wiki-heysuhas
This skill solves the problem of fragmented, ephemeral AI research by building a persistent, compounding knowledge base that evolves with your queries rather than starting from scratch every time.
Ask the agent to initialize a new wiki in your home directory and ingest the research paper provided in the current context.
High-intent search queries and answers about installing and using this skill.
Build a persistent markdown knowledge base by ingesting raw sources and letting the agent synthesize them into structured entity and concept pages. It automatically cross-references new information with existing notes to create a dense, interlinked graph of concepts.
The best way to maintain wiki consistency is using agent-driven maintenance to automatically summarize sources, flag contradictions, and manage the wiki structure. This ensures your knowledge base remains coherent as it compounds over time.
Unlike standard RAG alternatives that retrieve fragments transiently, an interlinked knowledge base compounds knowledge by cross-referencing new information with existing notes, tracking entity relationships, and maintaining persistent markdown files for long-term memory.
Yes, you need a local file system environment to manage markdown files, schema definitions, and chronological logs. This local setup allows the agent to maintain the persistent wiki structure and perform automated consistency checks.
Yes, you can ingest dozens of papers and articles into a single wiki. The agent will synthesize complex topics, track entity relationships across sources, and identify gaps in your current understanding automatically.
AI research loses context without a persistent knowledge base. By synthesizing raw sources into interlinked markdown pages with chronological logs, your queries evolve the wiki over time rather than starting from scratch.
ghufronbagaskaraIngest raw sources into structured, interlinked Markdown wiki pages with automated cross-referencing.
ce-dot-netCapture insights from task executions into a persistent knowledge base.
samuelmukotiIngest sources into a persistent Markdown wiki with YAML frontmatter and wikilinks.
cclankIngest articles into a structured, cross-referenced Markdown knowledge base.
