Archit Singh
I'm Archit Singh, a Senior Backend Engineer at Tarka Labs with 8+ years of experience building high-concurrency systems, distributed infrastructure, and GenAI-powered pipelines. I specialize in designing resilient backend architectures using Python, Redis, Kafka, Postgres, and vector DBs. I strongly focus on system design, infra observability, and real-world autonomy in AI agents.
I’ve led the development of scalable LLM agent platforms, built memory-aware retry loops, and designed stateful execution layers for copilots and multi-agent workflows. I’m passionate about bridging cognitive architecture with production-grade infra, turning stateless chains into real systems that remember, reflect, and evolve.
Session
Today’s AI agents generate, but they don’t remember. They hallucinate, forget goals, and can’t recover across tasks. Why? Because they’re stateless.
In this talk, we reframe memory as the core control loop of intelligent agents, not just a retrieval layer.
What You’ll Learn
- How to architect persistent memory in Python using:
- Redis (short-term memory buffers)
- Vector databases (semantic recall)
- Structured state buffers (long-term identity)
- Design patterns for:
- Episodic vs. semantic memory modeling
- TTL-based forgetting + reinforcement
- Memory-aware retries, planning, and reflection
Who This Is For
Whether you're building:
- a chatbot
- an LLM copilot
- or an autonomous workflow agent
This talk will shift your lens from prompt engineering to memory engineering.
Core Message
Memory isn’t an optimization.
It’s the agent.