A goal-agnostic parallel orchestration framework that enables sophisticated multi-agent coordination for tasks like code generation, UI development, and research through specification-driven architecture. It utilizes wave-based generation and intelligent context management to execute complex, iterative agentic loops.
Multi-agent AI orchestration platform for Claude Code that enables deploying and coordinating specialized agents in swarms with self-learning, fault-tolerant consensus, and enterprise security.
A production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.
Enables multiple LLM agents across devices to form teams, share knowledge, memory, and tasks with live status via a web dashboard and distributed-systems reliability.
