LLM Wiki — LLM-compiled knowledge bases for Claude Code, Codex, OpenCode & any LLM agent
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LLM-compiled knowledge bases for<br>any AI agent with awesome outputs.
Parallel multi-agent research. Thesis-driven investigation. Source ingestion.<br>Wiki compilation. Topic archiving. Inventory tracking. Dataset manifests. Truth-seeking audits.<br>Querying. Artifact generation. Ships as a<br>Claude Code plugin, an OpenAI Codex plugin, an OpenCode instruction file, or a<br>portable AGENTS.md. Obsidian-compatible.
Install<br>Source on GitHub<br>Quick Start
Every run compounds. Sources become cross-referenced articles.<br>Articles become reports, slide decks, study guides, playbooks,<br>and implementation plans. The more you research, the stronger<br>every output gets.
What it does
One command spins up a topic wiki, dispatches up to ten agents,<br>ingests what's worth keeping, collects provenance-rich catalogs before tracking them, archives old topics without deleting them, tracks durable follow-up state, indexes<br>large datasets without copying them, compiles sources into articles, and<br>hands you a deliverable built on top. All plain Markdown you own.
Research
5–10 parallel agents search academic, technical, applied, news, and contrarian angles. --min-time 2h keeps going in rounds, drilling into gaps each round finds.
Thesis mode
Start from a claim. Agents split across supporting, opposing, mechanistic, meta, and adjacent angles. Output is a verdict — not a summary. Round two fights confirmation bias.
Ingest
URLs, files, PDFs, inbox drops, Git doc repos, MediaWiki dumps, message archives, and Wayback CDX snapshots. Raw sources stay immutable; articles synthesize on top.
Collect
Find, dedupe, download bounded public media, and catalog discoverable artifacts, examples, memes, tools, entities, and source candidates. Captures aliases, found-in-context provenance, local asset paths, hashes, scale, media policy, and inventory fit.
Inventory
Track durable things the wiki should remember: items, source candidates, corpora, entities, open questions, watch items, and next actions. Chat views default to compact tables.
Datasets
Index large, external, mutable, or operational data with manifests, samples, profiles, and query recipes. The wiki becomes the interface; the data stays where it belongs.
Archive
Move whole topic wikis to topics/.archive/. Preserved knowledge stays structurally maintainable but out of default query, compile, research, collect, output, and maintenance context.
Compile
Raw sources become synthesized articles with cross-references and confidence scores. Every directory has an _index.md — nothing is scanned blindly.
Query
Quick (indexes), standard (articles), or deep (everything + sibling wikis). --resume picks up where you left off.
Librarian
Score every article for staleness and quality. Two-tier scan: fast metadata check, then deep content read for flagged articles. Checkpoint recovery. Machine-readable JSON + human-readable report.
Audit
Answer the broader trust question. Reuse the librarian pass, trace outputs across raw/, wiki/, and output/, detect drift, inspect provenance, and do fresh research when local evidence is not enough.
Lessons
Extract lessons learned from the current session — error→fix patterns, user corrections, discoveries. Saved as structured notes the wiki can query later. --rules emits enforceable rules instead of prose.
Plan
Wiki-grounded implementation plans. Reads the knowledge base, interviews you about requirements, fills gaps with targeted research, and produces a phased plan citing wiki articles as evidence. --format rfc|adr|spec.
Output
Reports, slide decks, study guides, playbooks, implementation plans, timelines, glossaries, comparisons. Filed back into the wiki so the next output builds on every previous one.
Install
Claude Code
Native plugin. Recommended.
claude plugin install wiki@llm-wiki<br>Installs from the public marketplace. Restart Claude Code to apply.
OpenAI Codex
Marketplace plugin. Invoke with @wiki.
codex plugin marketplace add nvk/llm-wiki<br># Then open /plugins, enable "LLM Wiki", use @wiki<br>Or from a local checkout: ./scripts/bootstrap-codex-plugin.sh --scope user --verify. The Codex tree is a generated mirror of the Claude source of truth — updates land identically.
OpenCode
Instruction file.
# In opencode.json:<br>{ "instructions": [<br>"path/to/llm-wiki/plugins/llm-wiki-opencode/skills/wiki-manager/SKILL.md"<br>] }<br>Or copy to ~/.config/opencode/AGENTS.md. Web search requires OPENCODE_ENABLE_EXA=1.
Pi
Instruction file. Best for local models.
pi --instructions path/to/llm-wiki/plugins/\<br>llm-wiki-opencode/skills/wiki-manager/SKILL.md<br>Pi's 1K system prompt leaves room for the full...