Show HN: 10x better performance from the Coding Harnesses with LLM-wiki A developer released LLM-wiki, a tool that orchestrates 5–10 parallel AI agents to research topics and compile structured wikis from academic, technical, news, and contrarian sources. The system ingests URLs, PDFs, and other data, then produces cross-referenced articles, reports, and slide decks in plain Markdown, aiming to deliver verifiable, compoundable research outputs. It ships as plugins for Claude Code, OpenAI Codex, and OpenCode, and is designed to reduce confirmation bias through multi-angle investigation. 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. ██╗ ██╗ ███╗ ███╗ ██╗ ██╗██╗██╗ ██╗██╗ ██║ ██║ ████╗ ████║ ██║ ██║██║██║ ██╔╝██║ ██║ ██║ ██╔████╔██║ ██║ █╗ ██║██║█████╔╝ ██║ ██║ ██║ ██║╚██╔╝██║ ██║███╗██║██║██╔═██╗ ██║ ███████╗███████╗██║ ╚═╝ ██║ ╚███╔███╔╝██║██║ ██╗██║ ╚══════╝╚══════╝╚═╝ ╚═╝ ╚══╝╚══╝ ╚═╝╚═╝ ╚═╝╚═╝ Parallel multi-agent research. Thesis-driven investigation. Source ingestion. Wiki compilation. Session memory. Feedback curation. Topic archiving. Inventory tracking. Dataset manifests. Truth-seeking audits. Querying. Artifact generation. Ships as a Claude Code plugin, an OpenAI Codex plugin, an OpenCode instruction file, or a portable AGENTS.md . Obsidian-compatible. Every run compounds. Sources become cross-referenced articles. Articles become reports, slide decks, study guides, playbooks, and implementation plans. Session digests keep the agent oriented without turning private chats into topic evidence. One command spins up a topic wiki, dispatches up to ten agents, ingests what's worth keeping, collects provenance-rich catalogs before tracking them, archives old topics without deleting them, tracks durable follow-up state, indexes large datasets without copying them, captures redacted session context and feedback candidates without hoarding transcripts, compiles sources into articles, and hands you a deliverable built on top. All plain Markdown you own. 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. 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. URLs, files, PDFs, inbox drops, Git doc repos, MediaWiki dumps, message archives, and Wayback CDX snapshots. Raw sources stay immutable; articles synthesize on top. 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. 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. 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. Move whole topic wikis to topics/.archive/ . Preserved knowledge stays structurally maintainable but out of default query, compile, research, collect, output, and maintenance context. Raw sources become synthesized articles with cross-references and confidence scores. Every directory has an index.md — nothing is scanned blindly. Quick indexes , standard articles , or deep everything + sibling wikis . --resume picks up where you left off. Default-on hook capture writes redacted events, state JSON, and Markdown digests under .sessions/ . Rehydrate future turns with compact context; promote only what belongs in a topic. Curates high-signal corrections, preferences, approvals, and plan acceptance under .sessions/feedback/ . Generic acknowledgements are ignored; durable lessons are explicitly promoted. 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. 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. 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. 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 . 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. Native plugin. Recommended. claude plugin install wiki@llm-wiki Installs from the public marketplace. Restart Claude Code to apply. Marketplace plugin. Invoke with @wiki . codex plugin marketplace add nvk/llm-wiki Then open /plugins, enable "LLM Wiki", use @wiki 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. Instruction file. In opencode.json: { "instructions": "path/to/llm-wiki/plugins/llm-wiki-opencode/skills/wiki-manager/SKILL.md" } Or copy to ~/.config/opencode/AGENTS.md . Web search requires OPENCODE ENABLE EXA=1 . Instruction file. Best for local models. pi --instructions path/to/llm-wiki/plugins/\ llm-wiki-opencode/skills/wiki-manager/SKILL.md Pi's 1K system prompt leaves room for the full wiki skill on 32K context local models. Uses the same skill file as OpenCode. Portable AGENTS.md . curl -sL https://raw.githubusercontent.com/nvk/llm-wiki/master/AGENTS.md \ ~/your-project/AGENTS.md Drop the file into any agent's context or project root. Works with anything that can read/write files and search the web. Claude Code: claude plugin update wiki@llm-wiki Restart Claude Code to apply If the update command misses a new version stale marketplace cache , sync manually: git clone https://github.com/nvk/llm-wiki.git or: git -C ~/llm-wiki pull REPO=~/llm-wiki/claude-plugin DEST=~/.claude/plugins/cache/llm-wiki/wiki VERSION=$ grep '"version"' "$REPO/.claude-plugin/plugin.json" | grep -o ' 0-9. ' rm -rf "$DEST"/ mkdir -p "$DEST/$VERSION" cp -R "$REPO/.claude-plugin" "$REPO/commands" "$REPO/skills" "$DEST/$VERSION/" Codex: codex plugin marketplace upgrade llm-wiki . For a local checkout: re-run ./scripts/bootstrap-codex-plugin.sh --scope user --verify . AGENTS.md: re-run the curl command above to replace the file. One command, from anywhere — creates a topic wiki, launches parallel agents, keeps researching for an hour, comes back compiled. /wiki:research "gut microbiome" --new-topic --min-time 1h More common flows: /wiki:research "nutrition" --new-topic /wiki:research "fasting" --deep --min-time 2h /wiki:research "What makes articles go viral?" --new-topic /wiki:research --mode thesis "fiber reduces neuroinflammation via SCFAs" /wiki:query "How does fiber affect mood?" /wiki:query --resume /wiki add https://example.com/article fuzzy router → ingest /wiki what do we know about CRISPR? fuzzy router → query /wiki:ingest-collection https://github.com/bitcoin/bips --wiki bitcoin /wiki:collect "bitcoin memes" --wiki bitcoin /wiki:collect "bitcoin memes" --scale medium --media reference --inventory corpus /wiki:inventory add item "TRX-4M ring and pinion" --wiki trx4m-1-18 /wiki:inventory list --view actions --limit 10 /wiki:dataset add "Bitcointalk Temporal Graph" --location https://figshare.com/articles/dataset/BitcoinTemporalGraph/26305093 /wiki:dataset list --view schema --limit 10 /wiki:archive topic old-interest --reason "No longer active" /wiki:archive list --archived /wiki:archive restore old-interest /wiki:session status /wiki:session rehydrate --cwd "$PWD" /wiki:feedback list --unpromoted /wiki:session disable optional opt-out /wiki:compile /wiki:output report --topic gut-brain /wiki:assess /path/to/my-app --wiki nutrition /wiki:lint --fix Long agent runs lose useful context when chats compact, terminals close, or work moves from Claude to Codex. LLM Wiki now has a hidden operational layer for that: redacted checkpoints, compact digests, and user-feedback candidates under HUB/.sessions/ . It helps the next turn get oriented without treating private chat logs as curated wiki knowledge. Trusted hooks capture in balanced mode by default. /wiki:session disable writes enabled: false so those hooks become no-ops. Capture stores metadata, state, small events, and distilled Markdown digests. Full transcripts are not stored by default. /wiki:session rehydrate returns a compact context block pointing the agent to relevant digests for the current directory, topic, or session ID. Session digests and feedback candidates remain operational memory until promote writes a distilled note into a topic's raw/notes/ . HUB/.sessions/ ├── config.json enabled/mode/privacy/rehydrate settings ├── registry.jsonl append-only lifecycle events ├── queue/YYYY-MM-DD.jsonl small redacted hook events ├── state/