Orchard is an open-source framework for training and evaluating AI agents across task types with reusable infrastructure.
News Hub
What actually shipped in agent engineering, pulled from the labs, arXiv and Hacker News.
See who we follow →Microsoft introduces Echoverse, evolving environments for training computer-use agents on multi-step workflows.
Microsoft presents EvoLib to help LLMs develop reusable skills and adapt across tasks post-deployment.
New method verifies Rust cryptography in SymCrypt while preserving speed and adaptability during implementation and evolution.
Aurora 1.5 adds 22 variables, hourly resolution, and probabilistic forecasting to the Aurora weather foundation model.
Flint is an open-source visualization language for AI agents to create expressive charts.
SkillOpt converts manual agent skill editing into a trainable parameter optimization process without changing model weights.
Memora memory system separates storage from retrieval to scale AI agent context beyond reload and retrieval inefficiencies.
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.


