BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:A hands-on workshop on designing short-term and long-term memo ry for reliable\, personalized AI agents X-WR-CALDESC:A hands-on workshop on designing short-term and long-term mem ory for reliable\, personalized AI agents NAME:From amnesia to photographic memory: building memory into agentic sys tems X-WR-CALNAME:From amnesia to photographic memory: building memory into age ntic systems REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:From amnesia to photographic memory: building memory into agentic systems TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:From amnesia to photographic memory: building memory into agentic systems DTSTART:20260808T043000Z DTEND:20260808T093000Z DTSTAMP:20260816T050238Z UID:session/RtVwMSzzUMNbvZ95iXhiYS@hasgeek.com SEQUENCE:10 CREATED:20260722T052441Z DESCRIPTION:## Objective\nYou have built a few agents\, wired them into a multi-agent system. What comes next? This workshop takes a focused look at one of the most critical and often underestimated parts of an agentic sys tem ā€” memory. Participants will come away with a practical understanding of how memory shapes agent behavior\, capabilities\, and user experience. \n\n**Format:** Hands-on workshop\n**Duration:** 5 hours\n\n---\n\n## Agen da\n### Introduction\nA quick grounding in agentic system fundamentals ā€” core components (LLM\, Tools\, Planning\, Execution\, Memory)\, the agent execution lifecycle (Observe\, Reason\, Act\, Reflect)\, and why memory i s a first-class concern rather than an afterthought.\n\n### Problems with a Stateless Agentic System\nWhat actually breaks when an agent has no stat e: loss of context within a conversation\, no personalisation\, repetitive interactions.\n\n**Hands-on Exercise 1:** Build a stateless travel assist ant\, run it through scenarios\, and identify what's missing.\n\n### Short -Term Memory\nTwo practical patterns: using workflow state to store prefer ences\, tool outputs\, and intermediate decisions\; and passing conversati on history in the prompt to maintain continuity.\n\nIncludes a section on managing conversation history efficiently ā€” what to preserve\, what to d rop\, and common strategies for keeping history useful without letting it balloon.\n\n### Memory Checkpoints\nCheckpoints\, why they're needed\, and the LangGraph-specific concepts required: checkpointers\, state persisten ce\, workflow resumption\, and interrupt-and-resume patterns.\n\n**Hands-o n Exercise 2:** Extend the travel assistant to retain budget\, interests\, destinations\, and trip duration across a session\, asking intelligent fo llow-ups and maintaining coherent context.\n\n### Long-Term Memory\nLimita tions of short-term memory\, when long-term memory becomes necessary\, and the three types ā€” semantic\, episodic\, and procedural. Architectures f or how memory is created\, stored\, and retrieved\, plus production best p ractices.\n\n**Hands-on Exercise 3:** Extend the assistant further so it r ecalls preferred destinations\, remembers budget ranges\, recommends based on past choices\, and picks up conversations across sessions.\n\n### Wrap -Up and Discussion\nReal trade-offs between memory approaches\, common pro duction challenges\, and Q&A.\n\n---\n\n## Key Takeaways\nBy the end of th is workshop\, participants will:\n\n- Understand the role of memory in age ntic systems\n- Build stateless\, session-aware\, and persistent agents\n- Implement short-term and long-term memory patterns\n- Use checkpoints eff ectively in workflow orchestration\n\n---\n\n## Who is this workshop for\n - Developers and engineers building AI-powered applications who want relia ble\, agent-driven workflows\n- ML/AI engineers exploring agentic architec tures\n- Tech leads and solution architects designing scalable\, multi-age nt systems and automation platforms\n- Platform and backend engineers inte grating LLMs with real-world systems\, APIs\, and infrastructure\n- Innova tion\, R&D\, and product teams experimenting with AI agents\, orchestratio n frameworks\, and MCP-based extensibility\n\n## Difficulty level : Interm ediate\n## Pre-requisites\n### What you'll need\n* Bring your own laptop\n * Git installed and an active GitHub account for code access and collabora tion\n* Valid API keys provisioned in advance (e.g. Gemini\, GPT). Note: A PI keys will not be provided during the workshop.\n* Familiarity with an I DE or code editor (VS Code\, PyCharm\, etc.)\n\n### Come prepared with\nPa rticipants should be comfortable with:\n* Working knowledge of Python\n* L angGraph fundamentals (graphs\, nodes\, edges\, and state)\n* The basics o f agentic systems\, including how a simple multi-agent system is structure d and orchestrated\n\nThe instructors will start with [this talk](https:// youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa) to get the fundamentals\, then j oin the workshop for a hands-on deep dive into memory architectures for ag entic systems.\n\n---\n\n## About the workshop instructors\n**[Swetha A](h ttps://www.linkedin.com/in/swetha0302)** is a Solution Consultant at Sahaj Software\, specialising in multi-agentic systems and the practical applic ation of Generative AI in software engineering. She has strong expertise i n designing AI-powered systems\, building multi-agent workflows\, and expl oring AI-assisted software development. She is passionate about understand ing how emerging AI technologies can augment human creativity\, improve de cision-making\, and transform the way software is built.\nHer research has been presented at the International Conference on Data Analytics and Mana gement\, and she has spoken at multiple DevDays events and Fifth Elephant conferences\, sharing her expertise and insights on AI agents\, AI-assiste d software development\, and emerging agentic architectures.\n\n**[Mahita D](https://www.linkedin.com/in/mahita07)** is a Solution Consultant at Sah aj Software\, where she explores how AI can transform the way software is built. She is particularly interested in understanding what makes agentic systems effective in practice and discovering how developers can get the m ost out of AI-assisted development. Through talks and workshops\, she shar es practical insights from her work to help teams build more effectively w ith AI.\n\n---\n\n## How to attend this workshop\nThis workshop is open to :\nšŸŽŸļø Fifth Elephant community members ā€” https://hasgeek.com/fifthe lephant#memberships\nšŸŽŸļø Ticket holders for The Fifth Elephant annual conference ā€” https://hasgeek.com/fifthelephant/enterprise-ai-in-producti on-meetup#tickets\n\n**This workshop is open to 30 participants (in-person ) & hybrid access for remote attendees. Seats for in-person participants w ill be available on first-come-first-served basis. šŸŽŸļø**\n\n---\n## Ne ed more info?\nā˜Žļø Call: (91) 7676332020\nšŸ“§ Email: info@hasgeek.com LAST-MODIFIED:20260807T171456Z LOCATION:Sahaj Software\, Koramangala\, Bangalore - https://hasgeek.com/fi fthelephant/from-amnesia-to-photographic-memory-workshop/ ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/from-amnesia-to-photographic-memory- workshop/ BEGIN:VALARM ACTION:display DESCRIPTION:From amnesia to photographic memory: building memory into agen tic systems in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR