Open Knowledge Format
Top open-source Open Knowledge Format AI systems, agents, and MCP tools.
Discover and install verified Open Knowledge Format AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (8)
Open in Advanced FilterThe OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Claude Code plugin + skills.sh.
Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Open Knowledge Format for coding agents. Author, validate, lint, search, and visualize portable Markdown knowledge bundles. One gem carries the agent skill, the CLI and Ruby library, and an interactive graph. Docker and Claude Code plugin included, 100% local.
OKF (Open Knowledge Format) — curated catalog of tools, plugins, skills, proposals, and docs for agent-friendly knowledge. YAML-driven, agent-searchable, MCP-ready.
OpenZIM MCP is a modern, secure, and high-performance MCP (Model Context Protocol) server that enables AI models to access and search ZIM format knowledge bases offline.
Persistent memory plugin for Codex. Obsidian-style knowledge base that survives across sessions
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
Build & Monetize for Open Knowledge Format
Have you created an autonomous agent, MCP server, or Claude Code skill for Open Knowledge Format? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.