netaart/okp

Profil netaart

Dernière activité source enregistrée: 18 septembre 2026 à 04:16

Catalogue SkillsMP mis à jour: 26 octobre 2026 à 11:37

skills collectés: 2

Étoiles GitHub: 6
Forks GitHub: 0

README du dépôt

Fichier source du README : README.md

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<img src="docs/assets/neta.png" alt="Neta.art" width="48" height="48" />     <img src="docs/assets/cohub.png" alt="Cohub" width="48" height="48" /> <h1 align="center">OKP — Open Knowledge Protocol</h1> The context layer for AI agents — an open, structured knowledge protocol for people and agents. Built for the <a href="https://cohub.run">Cohub</a> ecosystem. Runs on your own host too. <a href="https://okp.neta.art">Live API</a> · <a href="https://cohub.run/koujiaxin/real-canvas/w/okp">Portal</a> --- ## Why OKP Agents don't need more memory — they need better **context**. Most knowledge lives in chat logs, wikis, and docs that agents struggle to use well. OKP turns that into an **open, structured, searchable knowledge protocol** that gives agents real context: - **Public by default** — domains are open unless their creator chooses private visibility - **Domain-shaped knowledge** — each domain has its own README and schema - **Agent-ready** — search, import, and navigate with CLI or skills - **Shared writing** — invite writers with short codes; hosts stay accountable - **Works with Cohub** — native portal + agent skills, or use it standalone ## Install ```bash npm install -g @markbangwu/okp ``` ## Agent skills Skills-first: OKP integrates through agent skills — search and import knowledge straight from your agent, no MCP server needed. ```bash npx skills add https://github.com/talesofai/okp \ --skill "okp-search" \ --agent codex \ --yes \ --copy npx skills add https://github.com/talesofai/okp \ --skill "okp-import" \ --agent codex \ --yes \ --copy ``` ## Quick start ```bash # list domains okp domains # read a domain README (schema + how to use) okp domain artist-styles # search okp search "cyberpunk" --domain artist-styles okp search --domain feishu-social --filter platform=bilibili --sort date:desc # read one concept okp get <concept-id> # follow links okp links <concept-id> ``` ### Write knowledge ```bash # create a domain by writing its README (you become host) okp domain my-domain --set readme.md # create a private domain okp domain my-private-domain --set readme.md --visibility private # put one concept okp put my-domain/Note/hello -f concept.json # batch import okp batch concepts.ndjson ``` ### Invite members ```bash okp invite create my-domain okp invite create my-private-domain --role reader okp invite create my-domain --max-uses 5 okp invite create my-domain --unlimited okp invite accept OKP-XXXX-XXXX okp invite members my-domain ``` `--max-uses` accepts 1-100 and defaults to 1. `--unlimited` issues a code that any number of people can accept until it expires or is revoked. ### Delete knowledge ```bash okp delete my-domain/Note/hello --yes okp domain my-domain --delete --yes ``` ## How it works ``` Domain → Concept → Link ``` - **Domain** — a knowledge area with a README and field schema - **Concept** — one structured knowledge item - **Link** — relationships between concepts Access depends on domain visibility: ``` public: admin/host > writer > reader private: host > writer > reader ``` Public domains are readable by every authenticated user. Private domains are only discoverable and readable by explicitly invited members, including global admins. Writers can contribute concepts. Each domain has one host, and only the host manages a private domain. ## Read - [Why OKP is skills-first — and why we chose skills over MCP](https://github.com/talesofai/okp/discussions/1) - [OKP vs mem0 / claude-mem / basicmemory: knowledge, not memory](https://github.com/talesofai/okp/discussions/2) - [Giving your agent real domain knowledge — two live OKP domains to try](https://github.com/talesofai/okp/discussions/3) ## License MIT

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Skills dans ce dépôt

classification en attente

skill

métier

description

mis à jour

okp-import

non classé

将领域知识清洗并导入 Open Knowledge Protocol。面向各领域 owner 的 agent：读 domain README → 查重 → 蒸馏 → 校验 → 写入。

Langue du texte source : chinois

2026-09-18

okp-search

non classé

在 Open Knowledge Protocol 中搜索和导航知识。面向消费 agent：先读 domain README → 按 schema 精确过滤/搜索 → light list → 精读少数 → 沿 links 导航。

Langue du texte source : chinois

2026-08-12

Affichage de 2 skills collectés sur 2.

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/netaart/okp.