Lessons Learned Building Agentic Orchestrators

I wrote a pretty extensive blog (no AI used to write) detailing the relationship between AI agents, agentic harnesses, and agentic orchestrators. In addition, it includes a case study on how I built my own for an open source project. **Part I: Emerging Agentic Patterns - An Abridged History** A quick overview of the past three years of our industry’s transition to AI, and defining AI agents, agentic harnesses, and agentic orchestrators. **Part II: A Case For Micro-Orchestrators** Highlighting a gap I see in the market between robust orchestrator frameworks (e.g., Langchain) and the ever-popular rise of agentic “skills” via markdown files. **Part III: Building Your Own Micro-Orchestrators** A case study on a micro-orchestrator I built and published as an open-source package on PyPi, the hard lessons learned, and a deep dive into why I think the event sourcing data architecture pattern is ideal for complex agentic workflows. All throughout, I’ve linked articles and resources that have had a major impact on my learning in this space and that I believe will be an excellent reference for you as well. Link in the comments!