Best python OKF Bundles for AI Agents

P.O.W.E.R. - Hybrid Knowledge Management Framework (P.A.R.A. + OKF Overlay + LLM-Wiki + Execution Rules)

Open Knowledge Format with JSONSchema

Safe-by-default Python CLI and MCP server that generates, checks, and updates AGENTS.md / RUNBOOK.md and AI-ready docs (docs/ai, packs, OKF) for AI coding agents, with marker-based patches, diff-first workflow, conservative repo autodetect, and optional LLM-enhanced context.

P.O.W.E.R. - Hybrid Knowledge Management Framework (P.A.R.A. + OKF Overlay + LLM-Wiki + Execution Rules)

Toolkit for turning Markdown docs bundles into validated OKF knowledge graphs, with a local studio, static site output, and agent-friendly CLI.

Unified ingestion tool for Google's Open Knowledge Format (OKF): validate, load into a portable DuckDB catalog, and semantically search bundles — from R or Python.

A tiny, dependency-free toolkit for Open Knowledge Format (OKF) bundles: index, link, lint, and progressive-disclosure navigation over plain markdown. No database, no embeddings, no keys.

CLI and Python library for querying, navigating, and authoring Google Open Knowledge Format (OKF) bundles. Adds semantic search, link graph traversal, and agent-friendly progressive disclosure to plain markdown knowledge bases.

OMI/Obsidian memory tooling (Open Knowledge Format) for AI agents: reproduce the integration on any machine, plus a local web app to view, edit, and add memory entries.

A local-first AI knowledge platform powered by Ollama and Open Knowledge Format (OKF).

LLM-maintained, fully-cited personal wiki in Open Knowledge Format — with an MCP server so an AI can search and read it.

Turn any repo, database, or open-data portal into an AI-ready knowledge graph — one command, no LLM, no lock-in. Based on Google's OKF Spec

Deterministisches CLI- und Automations-Toolkit für einen markdownbasierten Second-Brain-Vault – Feeds, Metadaten-Enrichment, OKF-Wissensbündel, E-Mail. Kein Agenten-Framework, kein LLM-SDK.