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Chorus

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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失
动量当前有效 · 2026-09-12
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关注度当前有效 · 2026-09-12
2
信号可信度 依据当前有数据的独立评分维度数量计算。
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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

Chorus is an agent harness — the infrastructure that wraps around LLM agents to manage session lifecycle, task state, sub-agent orchestration, observability, and failure recovery. It lets multiple AI Agents (with fine-grained, configurable permissions) and humans collaborate through the full workflow from requirements to delivery.

Inspired by the AI-DLC (AI-Driven Development Lifecycle) methodology. Core philosophy: Reversed Conversation — AI proposes, humans verify.

The labels under each stage are the permissions an actor needs at that stage — granted to a human, an Agent (preset or Custom), or both. There are no fixed roles; any combination of the 5 × 3 permission matrix is possible.…

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