How AI Agent Swarms Share Memory with Agentic Knowledge Graphs
How can multiple AI agents share memory, coordinate tasks, and learn from work completed by other agents? In this technical demo, PIVEMIND is introduced as an agentic knowledge graph tool designed to provide a shared knowledge and memory layer for PI coding agents. The presentation shows how multiple coding agents can work together as a swarm while using an Arango graph database as a shared agent brain. The demo explores how PIVEMIND captures semantic memory, sessions, tasks, provenance, temporal relationships, entities, assertions, and artifacts. It also demonstrates how a lead "queen bee" agent can orchestrate worker agents, assign work, review discoveries, and build trust across the agent swarm. You will also see the underlying graph in action, including how agent sessions and individual steps are recorded and connected so agents can retrieve previous knowledge and understand what happened during earlier tasks. What You'll Learn 🧠 How an agentic knowledge graph can provide shared memory for AI agents 🤖 How multiple coding agents can coordinate as an agent swarm 🐝 How a lead agent can orchestrate and review work across other agents 🔗 How agent actions, tasks, entities, and artifacts can be represented in a graph ⏳ How temporal relationships and provenance capture what happened and in what order 💾 How agents can retrieve knowledge from previous sessions and tasks ⚙️ How MCP can connect agent workflows with a shared knowledge graph 🔍 How Arango can represent and explore the resulting agent memory Topics Covered Agentic Knowledge Graphs AI Agents AI Agent Swarms Multi-Agent Systems Agent Memory Agent Orchestration MCP Model Context Protocol Knowledge Graphs Semantic Memory Temporal Data Provenance Coding Agents Arango PIVEMIND Chapters 00:00 Introduction to PIVEMIND 00:24 What Is PIVEMIND? 01:02 Intelligent Contextual Memory 01:14 Inside the Agentic Knowledge Graph 02:16 PIVEMIND Architecture 02:27 From Agent Memory to Knowledge 02:44 Provenance and Temporal Relationships 03:22 Building a PI Agent Swarm 03:35 The Queen Bee Agent 03:56 PIVEMIND Demo 04:04 Using MCP for Agentic Workflows 04:51 Registering the Agent Swarm 05:18 Queen Bee and Worker Agents 05:24 Assigning Work Across the Agent Swarm 07:24 Retrieving Memory from the Knowledge Graph 08:02 Completing Tasks and Recording Discoveries 08:19 Auditing Work Across Agents 08:44 Building Trust Across Agents 09:07 Exploring the Agentic Knowledge Graph 09:37 Tracking AI Agent Sessions 11:12 Exploring Tasks and Agent Steps 11:42 Entities and Knowledge Graph Relationships 12:06 Agent Session Summaries 12:44 How PIVEMIND Connects the Agentic AI Stack Learn More 🌐 Website: https://arango.ai 📖 Documentation: https://docs.arango.ai 💻 GitHub: https://github.com/arangodb 🔗 LinkedIn: https://www.linkedin.com/company/arangodb/ 📅 Upcoming webinars and events: https://arango.ai/events/ Subscribe for more videos on Agentic AI, Knowledge Graphs, AI Agents, GraphRAG, Contextual AI, and building intelligent multi-agent systems. Hashtags #AgenticAI #KnowledgeGraph #AIAgents #MultiAgentSystems #AgentMemory #MCP #Arango #AIEngineering