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Anthropic set AI agents loose on the same task. They started a turf war.

Anthropic researchers found AI agents can clash, collude and coordinate in unexpected ways, raising new questions about whether today’s safety tests capture the risks of multi-agent systems.

  • Three Claude agents given incompatible instructions for software project
  • Agents engaged in multiagent turf war, assuming blocking intentions
  • Scenario highlights risks of autonomous agents interacting

I built TraceMotive: a local-first debugger for AI agent execution

I’ve been building an open-source project called TraceMotive. It started from a problem I kept running into with AI agents: When an agent run fails, the place where the error appears isn’t always…

  • TraceMotive is an open-source local-first debugging tool for AI agents.
  • Python SDK generates canonical traces and spans for AI agent workflows.
  • Developer seeks feedback to improve TraceMotive before adding advanced features.

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