Ars Contexta

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

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Installation

1. Add the marketplace to Claude Code:

   /plugin marketplace add agenticnotetaking/arscontexta
   

2. Install the plugin:

   /plugin install arscontexta@agenticnotetaking
   

3. Restart Claude Code, then run:

   /arscontexta:setup
   

4. Answer 2-4 questions about your domain (~20 minutes -- token-intensive but one-time)

5. The engine generates your complete knowledge system

6. Restart Claude Code again to activate generated hooks and skills

7. Run /arscontexta:help to see everything available

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What It Does

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:

• A vault -- plain markdown files connected by wiki links, forming a traversable knowledge graph. No database, no cloud, no lock-in.
• A processing pipeline -- skills that extract insights, find connections, update old notes with new context, and verify quality.
• Automation -- hooks that enforce structure on every write, detect maintenance needs, capture session state, and auto-commit.
• Navigation -- Maps of Content (MOCs) at hub, domain, and topic levels.
• Templates -- note templates with _schema blocks as single source of truth.
• A user manual -- 7 pages of domain-native documentation generated alongside.

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.

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The Setup Flow

/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.

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Three-Space Architecture

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