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@okf-harness/cli

v0.3.1

Published

The okfh command-line package for local OKF Harness workspaces.

Vulnerabilities

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Links

Git

Maintainers

pumbluspumblus

Keywords

okfopen-knowledge-formatllm-wikiagent-skillsclaude-codecodexmacoswindowslinuxknowledge-management

Readme

@okf-harness/cli

Command-line package for OKF Harness local workspaces. It provides the okfh command for initializing workspaces, registering sources, checking OKF conformance and Harness lint, searching and reading pages, generating graph reports, and installing Claude Code or Codex guidance.

OKF Harness is an independent open-source project built on Andrej Karpathy's LLM Wiki pattern and Google's Open Knowledge Format / OKF specification.

Most users install this package once, create one local workspace per knowledge domain, then ask Claude Code or Codex to maintain the workspace through okfh --json.

Install:

npm install -g @okf-harness/cli
okfh doctor --json

Try without a global install:

npx --package @okf-harness/cli okfh doctor --json

Runtime requirements are macOS, Windows, or Linux; Node.js 22 or newer; git; and this package. Repository development additionally requires pnpm and can be checked with okfh doctor --dev --json.

Common commands:

okfh init "$HOME/Documents/OKF Harness/ai-research" --name "AI Research" --agents codex --git --json
okfh check --workspace "$HOME/Documents/OKF Harness/ai-research" --json
okfh source add ~/Downloads/paper.pdf --workspace "$HOME/Documents/OKF Harness/ai-research" --json
okfh ingest plan <source-id> --workspace "$HOME/Documents/OKF Harness/ai-research" --json
okfh search "LLM Wiki" --workspace "$HOME/Documents/OKF Harness/ai-research" --json
okfh read topics/llm-wiki --workspace "$HOME/Documents/OKF Harness/ai-research" --json
okfh graph --workspace "$HOME/Documents/OKF Harness/ai-research" --json

On Windows PowerShell, use $env:USERPROFILE\Documents\OKF Harness for the workspace parent folder. On Command Prompt, use %USERPROFILE%\Documents\OKF Harness.

OKF Harness keeps raw sources under raw/sources/, synthesized knowledge under wiki/, source records in .okfh/manifest.jsonl, and generated reports under .okfh/reports/.

For project overview, workflows, security notes, and LLM-readable context, see the main repository README and llms.txt.