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@agent-next

Agent Next

Building an agentic world

Agent Next

Building an agentic world.

We believe the next era of work will be carried out by agents: systems that pursue goals over long horizons, coordinate with one another, and produce results that can be checked.

We build agent-native systems designed for large-scale autonomous work in the cloud. People set direction, oversee execution, and provide feedback; agents carry out the work.

Research

  • Agent infrastructure. Models, runtimes, and coordination that let large agent teams operate reliably.
  • Verification. Methods for checking agent work and establishing the limits of its reliability.
  • Learning from experience. How agents can learn from outcomes, feedback, and failures.
  • Agents for science and beyond. Autonomous agents applied to discovery and other real-world work.

Website · Notes

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  1. agent-ready agent-ready Public

    Codebase readiness scoring for autonomous agents — measurable operability standards beyond instructions.

    TypeScript 32 5

  2. behavior-driven-testing behavior-driven-testing Public archive

    Verification discipline for agent-generated changes — acceptance proof, regression safety, evidence trails.

    12 1

  3. cc-manager cc-manager Public archive

    Research platform for autonomous agent orchestration — self-organizing, self-verifying, self-evolving.

    TypeScript 1

  4. polymarket-paper-trader polymarket-paper-trader Public

    Paper trading simulator for Polymarket

    Python 401 58

  5. call-use call-use Public

    Open-source outbound call-control runtime for AI agents.

    Python 6 3

Repositories

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