Agent Orchestration
Coordinates multiple agents working on the same project by providing shared memory, task queuing with dependencies, and resource locking to prevent conflicts.
About
Agent Orchestration enables multiple AI agents to collaborate effectively across IDEs and CLI tools. It provides shared memory for storing context and decisions, a turn-based task queue with dependencies, resource locking to prevent file conflicts, and agent discovery to see who else is working on a project. The server uses SQLite for persistence and automatically syncs project context to activeContext.md, making it useful for complex multi-agent workflows where agents need to avoid race conditions, share findings, and coordinate work.
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