arscontexta

Name: arscontexta
Author: agenticnotetaking

byagenticnotetaking· 1 MCP server

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How to install arscontexta?

agenticnotetaking/arscontexta

$git clone https://github.com/agenticnotetaking/arscontexta

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Install arscontexta by running `git clone https://github.com/agenticnotetaking/arscontexta`, then use it for the current task and follow its documentation at https://github.com/agenticnotetaking/arscontexta.

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README.md

1	# Ars Contexta
2
3	A second brain for your agent.
4
5	A Claude Code plugin that generates complete knowledge systems from conversation.
6	You describe how you think and work. The engine derives a cognitive architecture
7	-- folder structure, context files, processing pipeline, hooks, navigation maps,
8	and note templates -- tailored to your domain and backed by 249 research claims.
9
10	No templates. No configuration. Just conversation.
11
12	v0.8.0 · Claude Code plugin · MIT
13
14	---
15
16	## Installation
17
18	1. Add the marketplace to Claude Code:
19	```
20	/plugin marketplace add agenticnotetaking/arscontexta
21	```
22
23	2. Install the plugin:
24	```
25	/plugin install arscontexta@agenticnotetaking
26	```
27
28	3. Restart Claude Code, then run:
29	```
30	/arscontexta:setup
31	```
32
33	4. Answer 2-4 questions about your domain (~20 minutes -- token-intensive but one-time)
34
35	5. The engine generates your complete knowledge system
36
37	6. Restart Claude Code again to activate generated hooks and skills
38
39	7. Run `/arscontexta:help` to see everything available
40
41	---
42
43	## What It Does
44
45	Most AI tools start every session blank. Ars Contexta changes that by generating
46	a persistent thinking system derived from how you actually work.
47
48	What you get:
49
50	- A vault -- plain markdown files connected by wiki links, forming a traversable
51	knowledge graph. No database, no cloud, no lock-in.
52	- A processing pipeline -- skills that extract insights, find connections, update
53	old notes with new context, and verify quality.
54	- Automation -- hooks that enforce structure on every write, detect maintenance
55	needs, capture session state, and auto-commit.
56	- Navigation -- Maps of Content (MOCs) at hub, domain, and topic levels.
57	- Templates -- note templates with `_schema` blocks as single source of truth.
58	- A user manual -- 7 pages of domain-native documentation generated alongside.
59
60	The key differentiator: derivation, not templating. Every choice traces to
61	specific research claims. The engine reasons from principles about what your
62	domain needs and why.
63
64	---
65
66	## The Setup Flow
67
68	`/arscontexta:setup` runs a 6-phase process:
69
70	\| Phase \| What Happens \|
71	\|-------\|-------------\|
72	\| Detection \| Detects Claude Code environment and capabilities \|
73	\| Understanding \| 2-4 conversation turns where you describe your domain \|
74	\| Derivation \| Maps signals to eight configuration dimensions with confidence scoring \|
75	\| Proposal \| Shows what will be generated and why, in your vocabulary \|
76	\| Generation \| Produces all files: context file, folders, templates, skills, hooks, manual \|
77	\| Validation \| Checks all 15 kernel primitives, runs pipeline smoke test \|
78
79	The whole process takes about 20 minutes. It's token-intensive because the engine
80	reads research claims, reasons about your domain, and generates substantial output.
81	This is a one-time investment -- after setup, your agent remembers.
82
83	For advanced users: `/arscontexta:setup --advanced` to configure dimensions directly.
84
85	---
86
87	## Three-Space Architecture
88
89	Every generated system separates content into three spaces:
90
91	\| Space \| Purpose \| Growth \|
92	\|-------\|---------\|--------\|
93	\| self/ \| Agent persistent mind -- identity, methodology, goals \| Slow (tens of files) \|
94	\| notes/ \| Knowledge graph -- the reason the system exists \| Steady (10-50/week) \|
95	\| ops/ \| Operational coordination -- queue state, sessions \| Fluctuating \|
96
97	Names adapt to your domain (`notes/` might become `reflections/`, `claims/`,
98	or `decisions/`), but the separation is invariant.
99
100	---
101
102	## Commands
103
104	### Plugin-Level (always available)
105
106	\| Command \| What It Does \|
107	\|---------\|-------------\|
108	\| `/arscontexta:setup` \| Conversational onboarding -- generates your full system \|
109	\| `/arscontexta:help` \| Contextual guidance and command discovery \|
110	\| `/arscontexta:tutorial` \| Interactive walkthrough (learn by doing) \|
111	\| `/arscontexta:ask` \| Query the research graph for methodology answers \|
112	\| `/arscontexta:health` \| Run diagnostic checks on your vault \|
113	\| `/arscontexta:recommend` \| Get architecture advice for your use case \|
114	\| `/arscontexta:architect` \| Research-backed evolution guidance \|
115	\| `/arscontexta:add-domain` \| Add a new knowledge domain to an existing system \|
116	\| `/arscontexta:reseed` \| Re-derive from first principles when drift accumulates \|
117	\| `/arscontexta:upgrade` \| Apply plugin knowledge base updates to your system \|
118
119	### Generated (available after setup)
120
121	\| Command \| What It Does \|
122	\|---------\|-------------\|
123	\| `/reduce` \| Extract insights from sources \|
124	\| `/reflect` \| Find connections, update MOCs \|
125	\| `/reweave` \| Update older notes with new connections \|
126	\| `/verify` \| Combined quality check: description + schema + health \|
127	\| `/validate` \| Schema compliance checking \|
128	\| `/seed` \| Create extraction task with duplicate detection \|
129	\| `/ralph` \| Queue-based orchestration with fresh context per phase \|
130	\| `/pipeline` \| End-to-end source processing \|
131	\| `/tasks` \| Queue management \|
132	\| `/stats` \| Vault metrics \|
133	\| `/graph` \| Graph analysis

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Install arscontexta by running `git clone https://github.com/agenticnotetaking/arscontexta`, then use it for the current task and follow its documentation at https://github.com/agenticnotetaking/arscontexta.

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