Best mcp OKF Bundles for AI Agents

Markdown memory system for you and your AI agent

Turn docs into agent-readable knowledge bundles using Open Knowledge Format (OKF). Converts documentation websites and local Markdown folders into OKF v0.1-conformant bundles with typed Markdown concept files, frontmatter, navigation files, source URLs, backlinks, and a read-only MCP server.

First general Wiki MCP following google's Open Knowledge Format. Let your agent to use, manage, maintain, and health check the wiki (knowledge base) for you. The wiki is general purpose.

First general Wiki MCP following Google's Open Knowledge Format. Lets your agent use, manage, maintain, and health-check a wiki (knowledge base). General-purpose OKF wiki server.

Open standard for portable AI knowledge interchange — JSON-LD + Markdown dual format with W3C PROV provenance, bi-temporal tracking, entity relationships, and OKF support.

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

Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.

Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release.

AI-Tadpole-OS a local-first "development platform" a Lily Pad to jump from for running autonomous AI agent teams on your own hardware. Coordinate parallel workflows, maintain full data privacy, and oversee every decision — no cloud required.

MCP server + CLI that turns the task manager you already use into persistent agent memory for Claude Code and any MCP client. Hybrid retrieval (RRF), no vector database. Adapters: TickTick, Obsidian, Notion, GitHub, Airtable, Google, OKF, Taskmaster, Beads.

Local-first memory for AI agents: teach knowledge as Markdown Domains, capture learnings as Engrams. One Rust binary with MCP server, CLI and hybrid search.

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

Lightweight OKF bundle consumer exposed as an MCP server.

MCP server for Open Knowledge Format (OKF) bundles — okf-ingest's deterministic consume verbs (context, search, impact, diff, doctor) as agent tools

OKFFS is a Model Context Protocol server for GitHub. Create and manage GitHub issues and projects using OKF knowledge bundles and Claude Code.

Окружение для работы с OKF. SKILL для соблюдения формата и упрощения работы, rag для поиска

An open, local-first knowledge engine - a second brain for your ai. Your notes stay plain markdown + git — the tapes; your AI reads and writes them behind governance gates. No lock-in.

Local-first Open Knowledge Format CLI and MCP server for trusted agent context.

Turn hard-won human experience into knowledge your AI agents can act on — a methodology (routing + Book-to-Skill + governance) above OKF. A production field report.

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.

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.

Harness-owned reader/author for Pi-agent OKF (Open Knowledge Format) knowledge bundles

Local-first context mesh for agent workflows: a Rust CLI and MCP stdio runtime for durable events, rebuildable context graphs, skill manifests, public-safe exports, and agent mailboxes.

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

memvault — local knowledge engine for AI agents: capture Codex/Claude/Gemini sessions, hybrid semantic+keyword retrieval, one MCP server for every harness, interactive graph, OKF export.

Local-first context mesh for agent workflows: a Rust CLI and MCP stdio runtime for durable events, rebuildable context graphs, skill manifests, public-safe exports, and agent mailboxes.

AI-driven MSX development and operations harness, featuring documentation organized via the Open Knowledge Format (OKF), automated build workflows, and direct agent-to-emulator communication via MCP to execute complex tasks.

Comparison and assessment of Google Cloud's Open Knowledge Format (OKF) from a local-first agent-memory perspective. AgentOS by Nadi Adatepe.

MCP server exposing an OKF bundle

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

Self-hosted media-to-Word and OKF workspace with netdisk support, usage tracking, admin review, and MCP integration.

Git-backed markdown wiki for humans and AI agents, web UI and MCP endpoint from one binary