Technical depth, not marketing. Architecture papers, benchmarks, engineering notes, experiments, and open-source releases — across agent systems, memory, autonomous decisions, and industrial AI.
A formal model for tool execution safety in agent runtimes, with static analysis, runtime monitoring, and rollback for irreversible operations.
Code, data, and experiment configs published alongside papers.
Claims backed by benchmarks, ablation studies, and real-world deployments.
Core infrastructure open-sourced; research shared with community.
New research, product releases, engineering notes, and open-source work. Low volume, no marketing noise.
