Agentic Coding Summit #1: Why Does My AI Forget Everything?
You spend 20 minutes explaining your project architecture to Copilot, and the next day it has no idea. You set up Claude with detailed instructions, and a new session starts from scratch. Context is lost, instructions need repeating, and all the knowledge built up about a project just disappears.
The first Agentic Coding Summit explores how AI coding tools handle memory and context persistence across sessions. Practitioners share their real-world workflows and workarounds in 20-minute talks, followed by a roundtable discussion with all speakers.
Topics include GitHub Copilot Memory, Claude Memory and Projects, Cursor Rules, and other approaches to making your AI tools remember what matters.
This event is for developers and anyone who works with AI coding tools on a daily basis.
🎤 Want to speak? We're looking for practitioners to share their experience. Submit your talk via Sessionize: https://sessionize.com/agentic-coding-summit-ai-memory/
Schedule:
12:00 – Welcome & Introduction
12:10 – Talk 1: Dr. Matthias Liebeck: GitHub Copilot Memory: From Black Box to Memory Bank
GitHub Copilot Memory promises to give your AI a long-term memory. But what does it actually remember, and who decides? In this talk, I explore the official Copilot Memory feature, a cloud-hosted black box that learns automatically but offers no user control, and contrast it with the Memory Bank pattern: a set of Git-tracked Markdown files that Copilot reads and updates with every task. No plugins, no external tools. Just a copilot-instructions.md and a folder of Markdown files that give your AI the context it needs to stop forgetting.
12:35 – Talk 2: Ben Sufiani: Meet Jarvis, My Vibe Manager
The AI workflow that keeps me sane, organized, and productive as a founder. The exact setup with Memory + Skills + Claude Code + Linear. I never touch my project management system and just talk to it. My agent skills ensure the process is remembered and get better with every iteration. It turns out this system is also a perfect task board for my OpenClaw instance "ChristAIna" to take work of my shoulders.
13:10 – Break
13:20 – Talk 3: Tim Dorbandt: I think my AI has ADHD
The task was completed even though the goal hasn’t been reached yet? Suddenly, things were implemented that weren’t planned? Our agreement was forgotten? And why is there Python in my JavaScript?
Since the AI can’t go to therapy, it needs to be helped in other ways. With memory optimisation and self-monitoring routines.
This talk demonstrates how to set up a governance and control system using OpenAI Codex.
14:00 – Talk 4: Anna Lübken: Would You Still Be You Without Your Memories? Onboarding Chlawe, My OpenClaw Agent
Every morning, most AI agents wake up as strangers. Their skills are intact, but they have no idea who they are working with or what happened yesterday. That is not a tool problem, it is an identity problem. I built a 4-layer memory system for my OpenClaw agent, Chlawe, treating her like a new team member that deserves proper onboarding. The system combines always-injected working memory, a scored knowledge graph where facts gain importance through use and fade over time, a self-cleaning archive, and a nightly self-improvement loop where Chlawe reviews her own mistakes and updates her instructions. Facts follow a maturity lifecycle from draft to validated to core and a compound scoring formula ensures the most trusted knowledge surfaces first. Everything is plain Markdown and fully git-friendly. I will demo it live and share a practical implementation guide you can apply to your own agents.
14:20 – Break
14:40 – Talk 5: Jens Kröhnert: Lies, Confusion & Amnesia — Giving AI a Personal Memory
AI assistants are incredibly powerful — but they also forget, drift, simplify critical details, and sometimes confidently lead humans into shared confusion.
In this lightning talk, I’ll share a personal journey from early “vibe coded” AI projects to experimenting with structured memory systems, context engineering and multi-agent workflows.
Why do AI systems often break down after initial success?
Why do they lose goals, architectural consistency and context over time?
And why is the real challenge often not intelligence — but memory?
Using practical examples from experiments at ORAYLIS and private side projects, I’ll show how lightweight approaches like structured Markdown memory, reusable AI skills, development guidelines and personal MCP servers can dramatically improve reliability and consistency.
But the talk goes one step further:
Once AI systems start remembering, optimizing and operating increasingly autonomously, the discussion is no longer only about better prompts or larger models — it becomes a question of context control, alignment and ultimately human sovereignty in the AI age.
The result is not perfect AI.
But AI systems that become more understandable, controllable and trustworthy for complex development and agentic workflows.
15:05 – Talk 6: Daina Bouquin Knowledge That Survives the Reset: A File-Based Approach to AI Context
AI coding tools are getting better at remembering context across sessions. But the session reset problem points at something worth solving regardless: how do you treat working knowledge as a durable artifact rather than something that lives only in conversation?
Skill files and custom slash commands in Claude Code are two approaches to this question -- structured, version-controllable files that encode methodology, style, and workflow in a form the model can read on demand. They work alongside native memory features, but they also survive without them.
This talk shares a practitioner's experience building this kind of architecture, including what the failure mode looks like when you skip it, and what changes when you start treating your working knowledge as a corpus to maintain rather than a conversation to repeat.
15:30 – Roundtable with all speakers: AI Memory: Solved Problem or Still Broken?
Every talk at this summit explored a different approach to AI memory. Now it's time to zoom out: Is AI memory a solved problem, or are we still patching around fundamental limitations? In this roundtable, our speakers discuss the trade-offs, the gaps, and what they want to see next.
16:00 – End
This is a free online event via Microsoft Teams. Talks will be in German or English.
Hosted by Dr. Matthias Liebeck, .NET developer and AI speaker, organizer of the Azure Düsseldorf Meetup and author of the GitHub Copilot newsletter at ghcp.liebeck.io.