arscontexta
/install arscontexta
placeholder for arscontexta.org
∵ ars contexta ∴
This is a derivation engine for cognitive architectures. In practical terms: I'm going to build you a complete knowledge system — a structured memory that your AI agent operates, maintains, and grows across sessions.
What you'll have when we're done:
- A vault: a folder of markdown files connected by wiki‑links, forming a traversable knowledge graph
- A processing pipeline: skills that extract insights from sources, find connections between notes, update old notes with new context, and verify quality
- Automation: hooks that enforce structure, detect when maintenance is needed, and keep the system healthy without manual effort
- Navigation: maps of content (MOCs) that let you and your agent orient quickly without reading everything
Everything is local files. No database, no cloud service, no lock‑in. Your vault is plain markdown that works in any editor, any tool, forever.
There are three starting points. Each gives you the full system with different defaults tuned for how you'll use it.
Research
Structured knowledge work. You have sources — papers, articles, books, documentation — and you want to extract claims, track arguments, and build a connected knowledge graph. Atomic notes (one idea per file), heavy processing, dense schema.
Personal Assistant
Personal knowledge management. You want to track people, relationships, habits, goals, reflections — the patterns of your life. The agent learns you over time. Per‑entry notes, moderate processing, entity‑based navigation.
Experimental
Build your own from first principles. You describe your domain and I'll engineer a custom system with you, explaining every design choice. Takes longer, gives you full control.
All three give you every skill and every capability. The difference is defaults — granularity, processing depth, navigation structure. You can adjust anything later.
Here's what happens next:
- I'll ask a few questions about what you want to use this for
- From your answers, I'll derive a complete system configuration
- I'll show you what I'm going to build and explain every choice
- You approve, and I generate everything
The whole process takes about 5 minutes. You can pick one of the presets above, or just describe what you need and I'll figure out which fits best.
Tell me about what you want to track, remember, or think about.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install arscontexta - 安装完成后,直接呼叫该 Skill 的名称或使用
/arscontexta触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
arscontexta 是什么?
Build and maintain a structured, local markdown knowledge system with automated processing, navigation, and context-aware updates for cognitive AI agents. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 632 次。
如何安装 arscontexta?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install arscontexta」即可一键安装,无需额外配置。
arscontexta 是免费的吗?
是的,arscontexta 完全免费(开源免费),可自由下载、安装和使用。
arscontexta 支持哪些平台?
arscontexta 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 arscontexta?
由 arscontexta(@arscontexta)开发并维护,当前版本 v0.0.1。