By hotredmat
Karpathy-style LLM-friendly wiki system for Claude Code. Auto-accumulates knowledge across sessions, optimized for low-spec local LLMs.
Karpathy-style LLM-friendly wiki system for Claude Code. Auto-accumulates knowledge across sessions, optimized for low-spec local LLMs.
Early development. MVP works but no documentation yet.
Via Claude Code marketplace (after publish):
/plugin marketplace add HotRedMat/claude-wiki
/plugin install claude-wiki
Low-spec local LLM + precise wiki accumulation = quality improves over time.
MIT
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimMulti-agent orchestrator plugin for Claude Code — agents perform in concert through a 5-phase pipeline (Gather → Deliberate → Execute → Audit → Document) with Reuse-First cross-cutting policy.
npx claudepluginhub hotredmat/claude-wiki --plugin claude-wikiClaude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Make your AI agent code with your project's architecture, rules, and decisions.