Claude Code 的编曲器、语音和多声道平台。

Claude Gateway 保持对话响应，同时 Claude Code 工作人员执行任务。通过连接的渠道交谈或打字，跟踪进展，并在会话中传递代理的记忆和技能。

文档 ·快速入门 ·API参考

特色

• 🔎 Jev 评估 — 可选的类型化 Choice、Score 和 Noul 评估，由代理、工作者和有范围集成共享，且可直接或兼容上游凭证。参见 Jev 设置。

• 🪄 代理编排引擎 — 在工作者执行持久任务时进行响应式对话。仪表盘分离代理/工作者令牌使用情况，并提供包含缓存和工具详情的会话报告。未使用交换机的现有配置会自动升级;显式的false仍为退出选项。参见编排设置。

• 🔥 代理编排 — 在可重用工作人员执行持久任务、报告进展、接受后续指示并支持取消时保持对话响应。参见编排与任务。

Claude Gateway

An orchestrator, voice, and multi-channel platform for Claude Code.

Claude Gateway keeps conversations responsive while Claude Code workers execute tasks. Talk or type through your connected channels, follow progress, and carry your agents’ memory and skills across sessions.

Documentation · Quickstart · API reference

Features

• 🔎 Jev evaluations — optional typed Choice, Score and Noul evaluations shared by agents, workers and scoped integrations, with direct or compatible upstream credentials. See Jev setup.

• 🪄 Agent Orchestration Engine — responsive conversations while workers execute durable tasks. The dashboard separates Agent/worker token usage and offers per-session reports with cache and tool details. Existing configurations without the switch are upgraded automatically; explicit false remains an opt-out. See orchestration settings.

• 🔥 Agent orchestration — keep conversations responsive while reusable workers execute durable tasks, report progress, accept follow-up instructions, and support cancellation. See orchestration and tasks.

• ⚙️ Worker harnesses — automatically route GPT workers to native Codex when ready, with Claude Code fallback before dispatch on the host or inside app containers. Conversational agents remain on Claude Code. See worker harnesses.

• 🧰 pstack — load the pstack-claude Claude Code plugin only for agents you set up with /pstack-setup, with per-agent model sheets, subagents as gateway tasks and live review-panel status. See pstack.

• 🎙️ Voice conversations — speech recognition and spoken replies with per-agent models and voices, direct or upstream providers, live or recorded speech input, and audio replay. See voice setup.

• 🧠 Skill self-improvement — agents learn reusable skills from their own work: after a substantive turn a background reviewer creates or updates a skill, hot-reloaded for the next turn. Provenance-guarded (never overwrites human-written skills), capped per day, and audited to SKILLS_LEARNED.md. See gateway.skillLearning