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Join us for an in-depth AMA with Rishikesh Ajit, the main maintainer of Standard Agent, an open-source library for building composable AI agents.

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About the Session
Standard Agent is a deliberately simple, modular library for AI agents. It provides the core reasoning loop that bridges LLMs with tools, while staying small enough to read, understand, and extend.
In this AMA, we’ll explore:

  • The Standard Agent repository: how it’s structured and why it matters
  • A walkthrough of the core code and reasoning strategies (ReAct, ReWOO, and beyond)
  • Running live examples: from CLI demos to building your own agent
  • How Standard Agent fits into the broader agentic AI ecosystem (LangGraph, crewAI, AutoGen, etc.)
  • Practical ways for contributors and curious minds to get involved and self-onboard

This session will give you the knowledge to dive in and start experimenting with the Standard Agent

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About the Guest
Rishikesh Ajit

  • Founding Engineer at Jentic
  • Former Senior ML Engineer at Rent the Runway & Informatica
  • Over 8 years of experience in AI/ML, recommender systems, and large-scale infrastructure
  • Open-source contributor and passionate about building practical, composable agent frameworks

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Who Should Join?

  • AI developers curious about building their own agents
  • Researchers experimenting with reasoning strategies
  • Contributors who want to learn the codebase and submit PRs
  • Anyone interested in the future of agentic AI

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What You’ll Get
✅ A clear mental model of how Standard Agent works
✅ Practical demos you can run yourself
✅ Guidance on contributing to the repo (issues, extensions, new reasoning strategies)
✅ A chance to ask questions directly to the maintainer

Artificial Intelligence
Machine Intelligence
Machine Learning
Natural Language Processing
Neural Networks

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