April 2, 2026·Liu Wei
THE AGENT TEAM PROBLEM: SEVEN OPEN-SOURCE APPROACHES TO ORCHESTRATING AI CODING AGENTS
One agent is useful. Multiple agents working in parallel on the same codebase is an unsolved engineering problem. We performed a source-level analysis of seven open-source projects — OrbitDock, codex-autorunner, Squad, Open-Inspect, Multica, Symphony, and AionUi — to map the architectural design space of AI agent orchestration. What emerged are four fundamental disagreements about how humans and AI should collaborate on code.
Agent OrchestrationMulti-Agent SystemsOpen SourceSource AnalysisAI EngineeringGit Isolation
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"The agent orchestration problem is not how to make AI write code — the models already do that. The problem is execution isolation, state persistence, failure recovery, and human oversight. The seven projects we analyzed have reached fundamentally different conclusions on each."