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February 07, 2026
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Dhaka
Building a Persistent Memory & Stateful Second Brain AI Agent
Learn how to build a stateful AI agent with persistent memory using Obsidian and context engineering. This talk demonstrates practical techniques for agent behavior and tool use without complex infrastructure.
Overview
Demonstrating context engineering in practice through Slatekore - an open-source starter kit that gives Gemini CLI persistent memory using Obsidian as the storage layer.
- State Management Without Infrastructure How to use the file system as persistent state - your Obsidian vault becomes both the agent’s memory and its knowledge base. No databases, no vector stores, no MLOps.
- Context Engineering for Agent Behavior Crafting system prompts (
GEMINI.md) and workflow files that define agent capabilities, constraints, and multi-step reasoning patterns. The prompt is the agent’s configuration.
- Tool Use Through Natural Interfaces Connecting the agent to real actions: creating files, managing tasks, building knowledge graphs - all through natural language commands backed by structured templates.
Watch a stateful agent capture research, recall context from previous sessions, update its knowledge graph, and execute project workflows - without any model training or fine-tuning.
Links
Tech stack