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I rebuilt a 4-year-old app in 5 days using many agents

here's harness. Language models got smarter, but they still lack our context. Shape the environment so agents can work without us: always on, in the cloud, with real limits.

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설명이 비슷한 순

  1. Multi-Agent Harness for Production AI

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  2. Meta-agent

    github.com

    self-improving agent harnesses from live traces

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  3. Agex

    ashenfad.github.io

    An agent framework that lives in your Python runtime

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  4. Single-agent LLMs suck at long-running complex tasks.

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  5. Build effective agents using Model Context Protocol and simple workflow patterns

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