AI Research Laboratory
Research focused on multi-agent coordination, entropy minimization, and inference optimization.
> curl -fsSL https://subagents.com/install | shThe Agents
Retrieval
Traverses context. Returns structured findings with provenance.
Modification
Applies precise modifications. Preserves context while transforming.
Validation
Validates outputs. Ensures alignment between intent and result.
Research Directions
Minimizing information loss during agent-to-agent delegation. When context transfers between agents, understanding degrades—we measure and reduce this.
Specialized subagents outperform monolithic execution. We study where decomposition boundaries yield optimal results.
Task-specific speculation patterns reduce latency without accuracy loss. Each task type develops learned decoding heuristics.
Publications