Agent Orchestration
Coordinates multiple agents working on the same project by providing shared memory, task queuing with dependencies, and resource l
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.
Source
Repository: https://github.com/madebyaris/agent-orchestration
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