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SkillsMay 11, 2026·2 min de lectura

Symphony — Orchestrate Autonomous Coding Agent Runs

Symphony orchestrates isolated autonomous runs so teams manage work instead of supervising coding agents. Includes a reference implementation.

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TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

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Tipo
Skill
Instalación
Single
Confianza
Confianza: Established
Entrada
Asset
Comando CLI universal
npx tokrepo install 65fe669e-6ac8-4e0e-9caf-292b05300d75
contrato de instalaciónJSON de metadataplan adaptadorcontenido raw
Introducción

Symphony orchestrates isolated autonomous runs so teams manage work instead of supervising coding agents. Includes a reference implementation.

  • Best for: Teams using coding agents who want repeatable, isolated “implementation runs” with proof-of-work outputs
  • Works with: Coding agents + CI/test harnesses; best with harness-engineered repos (see repo docs)
  • Setup time: 20 minutes

How to Use It Well

  • Setup time ~20 minutes (read SPEC + follow elixir/README.md for the reference implementation)
  • 2 options: implement the SPEC yourself or use the experimental reference implementation
  • GitHub stars + forks (verified): see Source & Thanks

If you’re already using coding agents, the biggest unlock is operationalizing them: isolate runs, make inputs/outputs explicit, and require proof-of-work (tests, checks, or review signals) so humans manage work, not prompt loops.

FAQ

Q: What is an “implementation run”? A: A single isolated agent execution that takes a work item and returns proof of work (outputs you can verify) instead of an open-ended chat loop.

Q: Do I have to use Elixir? A: No. The repo describes a language-agnostic SPEC and also provides an experimental Elixir reference implementation.

Q: Is it production-ready? A: The README labels it an engineering preview; run it only in trusted environments and validate the harness boundaries first.

🙏

Fuente y agradecimientos

Source: https://github.com/openai/symphony > License: Apache-2.0 > GitHub stars: 23,343 · forks: 2,208

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