auto_archivist — OKF Bundle for Knowledge Graphs
DraftA config-driven, provenance-anchored pipeline that turns an arbitrary corpus of source materials into a linked, self-contained knowledge base with meta ontology template and enrichment functions
Best for
- Knowledge graph and knowledge management systems
What it does
- Builds and maintains a structured knowledge graph from markdown content
- Fully OKF-conformant — works with any OKF-compatible agent framework
- Version-controlled with standard Git workflows for collaboration
How to use with AI agents
Step 1: Clone the repository
git clone https://github.com/Jiwei/auto_archivist
cd auto_archivistStep 2: Point your AI agent at the bundle directory
# Claude Code
claude /path/to/auto_archivist# Cursor
cursor /path/to/auto_archivist# OpenCode
opencode /path/to/auto_archivistFrequently Asked Questions
Is auto_archivist OKF conformant?
No, auto_archivist is currently marked as a draft bundle. It may not fully follow the OKF specification yet.
How do I install auto_archivist?
Clone the repository and point your AI agent at the bundle directory. The agent will automatically discover and load the OKF knowledge. No additional tools or SDKs are required.
What AI agents can use auto_archivist?
auto_archivist works with any AI agent that supports OKF bundles, including Claude Code, Cursor, OpenCode. Just point your agent at the bundle directory.
What are alternatives to auto_archivist?
Similar bundles include kw-okf-memory-skill, okf-agent-memory, agent-knowledge. Browse these for alternative approaches and feature sets.