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AItelier

DeepSeek HarnessMCP Server Workflow & Automation Low risk

Runs AItelier pipelines from DSH over MCP: 39 tools (22 read, 17 write) to generate, run, inspect, edit, export and import multi-step SkillFlow pipelines. The steps execute in AItelier rather than in the DSH session and are polled by run_id, pause at engine-enforced checkpoints answered with answer_checkpoint, and leave per-step traces and step outputs to read afterwards; add_provider / map_model / edit_role point an individual role at a local or cheaper endpoint. Bundles an aitelier-pipelines skill.

从 DSH 经 MCP 运行 AItelier 流水线:39 个工具(22 读、17 写),用于生成、运行、查看、编辑、导出与导入多步 SkillFlow 流水线。步骤在 AItelier 中执行而不占用 DSH 会话,按 run_id 轮询,在引擎强制的检查点暂停并由 answer_checkpoint 应答,事后可读取逐步 trace 与各步输出;add_provider / map_model / edit_role 可把单个角色指向本地或更便宜的端点。随包附带 aitelier-pipelines skill。

How to install

DeepSeek Harness dsh plugin add github:linxuhao/AItelier/tree/main/integrations/dsh

Recommendation signals

49 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
49 Overall
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Meta

License
MIT
Language
Python
GitHub stars
3
mo. downloads
–
Last push
2026-09-24
Created
2026-04-04

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com
Topics
agent-orchestration, atomic-design, deepseek, deterministic-execution, dsh-plugin, godot, local-llm, mcp-server, multi-agent, multi-agent-system, tools, traceability, yaml-configuration

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