okf-framework

A standalone, deterministic grounding playground for AI agents built on the Google Agent Development Kit (ADK) 2.0 and the Git-backed Open Knowledge Format (OKF) specification.

Local-first crystalline intelligence for AI agents: the knowledge that endures across sessions, taught as Markdown Domains and captured as Engrams. One Rust binary with MCP server, CLI and hybrid search.

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

google-okf is a production-grade, open-source Python library designed to automatically connect to various enterprise data sources and convert them into the standard Google Open Knowledge Format (OKF).

Self-Contexting Hierarchy of AGENTS.md files using the OKF specifications by Google.

BundleWalker is a local-first tool that turns a source bundle into a navigable knowledge workspace for people and AI agents. It proposes review-first writes to cited, interlinked OKF Markdown while preserving the exact bytes of every accepted source as immutable evidence.

Use LangChain and your preferred model provider to generate and validate Open Knowledge Format (OKF) bundles

A fast, local CLI for turning a folder of Markdown files into a searchable, linked knowledge base.

A zero-infra MCP server that turns an Open Knowledge Format (OKF) bundle into fast, lexical-first knowledge discovery for LLM agents — no vector DB, no embeddings by default.