Build and maintain research-backed knowledge systems from natural conversation, with automated vault diagnostics, schema enforcement, and architecture re-derivation to prevent structural drift.
Add a new knowledge domain to your existing system. Derives domain-specific configuration through conversation, generates domain folders, templates, and vocabulary while preserving and connecting to your existing architecture.
Research-backed evolution advice for your knowledge system. Analyzes health reports, friction patterns, and derivation history to propose specific changes with research justification. Never auto-implements — proposals require your approval.
Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".
Run condition-based vault health diagnostics. 8 categories — schema compliance, orphan detection, link health, description quality, three-space boundaries, processing throughput, stale notes, MOC coherence. 3 modes — quick (schema+orphans+links), full (all 8), three-space (boundary violations only). Returns actionable FAIL/WARN/PASS report with specific fixes ranked by impact. Triggers on "/health", "check vault health", "maintenance report", "what needs fixing".
Contextual guidance and command discovery. Three modes — narrative (first-time), contextual (mid-task), compact (quick reference). Shows available commands, active skills, and intelligent suggestions based on vault state. Triggers on "/help", "what can I do", "show commands", "how does this work".
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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A second brain for your agent.
A Claude Code plugin that generates complete knowledge systems from conversation. You describe how you think and work. The engine derives a cognitive architecture -- folder structure, context files, processing pipeline, hooks, navigation maps, and note templates -- tailored to your domain and backed by 249 research claims.
No templates. No configuration. Just conversation.
v0.8.0 · Claude Code plugin · MIT
Add the marketplace to Claude Code:
/plugin marketplace add agenticnotetaking/arscontexta
Install the plugin:
/plugin install arscontexta@agenticnotetaking
Restart Claude Code, then run:
/arscontexta:setup
Answer 2-4 questions about your domain (~20 minutes -- token-intensive but one-time)
The engine generates your complete knowledge system
Restart Claude Code again to activate generated hooks and skills
Run /arscontexta:help to see everything available
Most AI tools start every session blank. Ars Contexta changes that by generating a persistent thinking system derived from how you actually work.
What you get:
_schema blocks as single source of truth.The key differentiator: derivation, not templating. Every choice traces to specific research claims. The engine reasons from principles about what your domain needs and why.
/arscontexta:setup runs a 6-phase process:
| Phase | What Happens |
|---|---|
| Detection | Detects Claude Code environment and capabilities |
| Understanding | 2-4 conversation turns where you describe your domain |
| Derivation | Maps signals to eight configuration dimensions with confidence scoring |
| Proposal | Shows what will be generated and why, in your vocabulary |
| Generation | Produces all files: context file, folders, templates, skills, hooks, manual |
| Validation | Checks all 15 kernel primitives, runs pipeline smoke test |
The whole process takes about 20 minutes. It's token-intensive because the engine reads research claims, reasons about your domain, and generates substantial output. This is a one-time investment -- after setup, your agent remembers.
For advanced users: /arscontexta:setup --advanced to configure dimensions directly.
Every generated system separates content into three spaces:
| Space | Purpose | Growth |
|---|---|---|
| self/ | Agent persistent mind -- identity, methodology, goals | Slow (tens of files) |
| notes/ | Knowledge graph -- the reason the system exists | Steady (10-50/week) |
| ops/ | Operational coordination -- queue state, sessions | Fluctuating |
Names adapt to your domain (notes/ might become reflections/, claims/,
or decisions/), but the separation is invariant.
| Command | What It Does |
|---|---|
/arscontexta:setup | Conversational onboarding -- generates your full system |
/arscontexta:help | Contextual guidance and command discovery |
/arscontexta:tutorial | Interactive walkthrough (learn by doing) |
/arscontexta:ask | Query the research graph for methodology answers |
/arscontexta:health | Run diagnostic checks on your vault |
/arscontexta:recommend | Get architecture advice for your use case |
/arscontexta:architect | Research-backed evolution guidance |
/arscontexta:add-domain | Add a new knowledge domain to an existing system |
/arscontexta:reseed | Re-derive from first principles when drift accumulates |
/arscontexta:upgrade | Apply plugin knowledge base updates to your system |
npx claudepluginhub agenticnotetaking/arscontexta --plugin arscontextaSpec-driven development plugin for Claude Code. Markdown specs as the source of truth, code downstream.
Self-improving learning loop across Claude sessions — retrieval, capture, consolidation, and cross-project transfer
Build and maintain LLM-powered knowledge bases as Obsidian wikis with compile, query, lint, and evolve workflows
AI thinking partner for your Obsidian vault — process, recall, synthesize, research with evidence-backed learning science
Claude + 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).
Persistent, compounding knowledge base maintained by LLMs in Obsidian — agent-first edition. Four task-oriented agents (Researcher / Advisor / Curator / Scribe) with citations, confidence, supersession, and rolling session cache. Inspired by Karpathy's LLM Wiki pattern.
Second Brain OS — 16 skills for knowledge management, deep thinking, and vault operations powered by Obsidian.