# Agentic Knowledge Management (AKM) Agentic Knowledge Management is a [[Knowledge Management (MoC)|Knowledge Management]] approach where AI assistants proactively interact with knowledge bases, monitoring changes and autonomously executing tasks based on user intent. Rather than reactive tools requiring explicit commands, AKM is a paradigm shift toward proactive AI collaborators within [[Personal Knowledge Management System (PKMS)|Personal Knowledge Management Systems]]. ## Key characteristics - **Heartbeat-based monitoring**: The AI wakes up periodically (e.g., every minute) to scan for changes in the knowledge base (or is 'always on') - **Intent recognition**: Analyzes to-do items, daily notes, and project files to understand user objectives - **Proposal-based interaction**: Requests approval before executing tasks (human-in-the-loop) - **Autonomous execution**: Completes approved tasks and updates their status - **Contextual learning**: Understands user workflows, processes, and preferences over time - **Bidirectional communication**: Both user and AI can initiate interactions ## Implementation approaches - **Git-based sync**: Using commits as change sets for the AI to detect modifications - **WebSocket connections**: Real-time bidirectional communication between a [[Tools for Thought (TfTs)|Tool for Thought (TfT)]] and the AI assistant server - **Event-driven architecture**: Listening to file creation/modification events and pushing them to the agent - **Structured knowledge bases**: Schema-based repositories (like the [[Obsidian Starter Kit]]) with defined note types, metadata, templates and even strict schemas that AI can understand and leverage ## Example workflow 1. User adds a to-do task to their daily note (e.g., "cross-post article to Dev.to") 2. AI detects the change during its next heartbeat 3. AI understands the intent and writes a proposal below the task: "Do you want me to handle this?" 4. User responds "yes" in the note or clicks a button 5. AI reads the confirmation, executes the task, and updates the status when complete ## Value proposition AKM differs from embedded AI tools (like chat interfaces) by being proactive rather than reactive. The AI operates as a virtual extension of oneself; a digital "you" that knows your processes, understands your knowledge base structure, your business, your writing style, etc, and can act on your behalf (with appropriate oversight). ## Technical requirements - AI assistant with system-level access (e.g., [[OpenClaw]]) - Connections to communication channels (WhatsApp, Telegram, Slack, email, calendar) - Read-write access to the knowledge base - Multiplayer/real-time sync capabilities for optimal change detection ## Related concepts - [[AI Agents]] - [[OpenClaw]] - [[Knowledge Management (KM)]] - [[Personal Knowledge Management (PKM)]] - [[Enterprise Knowledge Management (EKM)]] - [[Tribal Knowledge]] - [[Knowledge Drain]] - [[Human-in-the-Loop]] - [[Exocortex]] - [[Agentic Knowledge Management - The Next Evolution of PKM (Article)]] - [[Model Context Protocol (MCP)]] - [[LLM Wiki]] - [[Farzapedia]] ## References - Concept definition: https://concepts.dsebastien.net/concept/agentic-knowledge-management - Raw voice note: https://dsebastien.voicenotes.com/integrating-ai-with-knowledge-management-systems - https://x.com/dSebastien/status/2018541846809501978 - https://www.knowii.net/c/announcements/experimenting-with-agentic-knowledge-management-akm - https://x.com/nateliason/status/2017636775347331276