wiki-spaces 0.5.0

Minimal nestable wiki for AI coding harnesses with filesystem access (Claude Code, Codex, Cursor, Windsurf, etc.). A folder + index.md, for any use case (notes, research, recipes, writing, team docs). Spec, conventions catalog, and reference skills. Out of scope: browser-only AI assistants.

wiki-spaces

A minimal nestable wiki — a folder with index.md, for any use case. Research, recipes, code notes, writing, team docs, a personal life wiki — your shape, your call.

Markdown flavor is Obsidian — wikilinks, frontmatter, callouts, embeds, comments, Bases. One dialect across the spec, the skills, and the tools. Non-Obsidian renderers (GitHub preview, vanilla VS Code, plain markdown viewers) display the content but will not render Obsidian-specific syntax (provenance comments, embeds, .base files) the way Obsidian does — view your wiki in Obsidian for full fidelity.

Audience

wiki-spaces is built for AI coding harnesses with filesystem access — Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Aider, and similar tools that read and write local files. Browser-only AI assistants (ChatGPT in a tab, Claude.ai web) are out of scope: they can't reach the filesystem to read or write your wiki. If your AI lives in a browser, this isn't the tool.

The shape of the wiki — research notes, recipes, journal, team reference, anything — is yours. The harness that drives it is what wiki-spaces assumes you have.

Start

mkdir -p ~/Wiki && echo "# My Wiki" > ~/Wiki/index.md

That's a complete wiki. Add files, folders, anything. The whole spec is one page: AGENTS.md.

Optional tooling

For AI agents to find and act on your wiki, install the helper:

uvx wiki-spaces install                  # link skills into detected harnesses
uvx wiki-spaces init ~/Wiki              # scaffold + register as default target
uvx wiki-spaces doctor --no-net          # verify

install auto-detects and links the skills into whichever of Claude Code, Codex, Gemini CLI, Antigravity, Hermes, and Kiro are present (--all pre-positions for every one). Cursor, Windsurf, GitHub Copilot, and Aider have no global skills directory — they integrate via a rule-file snippet instead (see What you get).

Or pip install wiki-spaces (or uv tool install wiki-spaces) and drop the uvx prefix.

Also available:

uvx wiki-spaces space add projects/foo   # create a space + register it
uvx wiki-spaces space audit              # audit drift, broken links, orphans
uvx wiki-spaces space mount <url> shared/team --as submodule   # mount an external space

space add, space remove, and space mount require a ## Spaces section in the parent's index.md (the navigability contract). Wikis scaffolded via wiki-spaces init get this automatically. Hand-rolled mkdir + echo wikis are Tier 1 and need ## Spaces added to index.md first — either by wiki-spaces init (which registers the wiki in your config) or by editing the file directly.

Let an AI agent do the setup

Paste this to your agent:

Install and set up wiki-spaces for me by following the instructions here:
https://raw.githubusercontent.com/anfreire/wiki-spaces/main/references/SETUP.md

The agent picks tailored defaults, scaffolds, links the skills into your harness, and writes the config.

What you get

Three reference skills your AI agent uses to work with the wiki:

• wiki-search — find content
• wiki-update — capture / save / sync
• wiki-tend — audit, normalize tags, cross-link

For Cursor / Windsurf / Copilot / Aider (no skills concept), see references/HARNESS_INTEGRATION.md. The fastest path is wiki-spaces install --bridge <key> (emits the rule snippet to stdout — pipe it into your project's rules file).

Search at scale

wiki-search works out of the box with grep / ripgrep, which is fine for personal/team wikis up to a few hundred pages. For larger vaults, install qmd — the markdown-aware MCP backend Andrej Karpathy references in the canonical LLM-wiki gist. See CONVENTIONS.md § Recommended search backends.

Learn more

• AGENTS.md — the spec, one page
• CONVENTIONS.md — opt-in conventions catalog
• references/EXAMPLES.md — topology examples per use case
• references/MOUNT.md — mount external spaces into your wiki

Dependencies

Python >=3.11. uv recommended (handles Python provisioning). git optional.

Prior art

• Andrej Karpathy's LLM Wiki gist
• Ar9av/obsidian-wiki — broader framework wiki-spaces extracts from
• kepano — vendored obsidian-markdown and obsidian-bases skills (MIT-licensed; see vendor/kepano/LICENSE)

License

MIT. See LICENSE.