v1.0.0 · MIT
不把整台机器交出去,只送出挡路的决定和下一步:DeepSeek Harness 的审批、ask_user_question 提问与结果回复,以飞书卡片发到手机——桌面优先、只出站;执行过程实时可见,下一段任务一键即开。
— · MIT
A CLI that turns a goal into a pull request - and a sandbox for testing concurrent AI coding agents on the Mozaik runtime.
v0.1.0 · MIT
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
v0.7.15 · Apache-2.0
Official-grade GitHub CI for DeepSeek Harness: composite action (review PRs / fix CI / report), polling PR review bot with idempotent inline comments, a status-check gate, and approval-gated PR/issue/repo/file tools
v0.12.10 · Apache-2.0
Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default, fully auditable from the session log (approval/asked -> autoReview/verdict -> approval/decided).
v1.1.8 · MIT
DSH 桌面消息提醒插件:模型需要你操作(审批/方案确认/提问的可操作提醒)或回复在后台完成时,系统通知+提示音+标签页标题提醒你;可在设置页开关并切换通知语言。Desktop notification & message alerts for DeepSeek Harness web — toasts, sounds and a tab-title marker when the agent needs your input (approval / plan review / question) or
v0.6.5 · MIT
Automatic provider/model fallback chains for DeepSeek Harness agents when LLM requests keep failing (retry exhausted, auth, quota, rate limit)
v0.2.32 · MIT
DSH web plugin: a LiveBench tab in the Trajectory view (right of 对话/轨迹). Run LiveBench evaluations against every model configured in the DeepSeek Harness — pick provider/model, category, task, release and question range from dropdowns, watch progress, and
v0.2.14 · Apache-2.0
Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.
v0.1.36 · MIT
DeepSeek balance & token-cost plugin for DeepSeek Harness (dual-face): query official balances of every DeepSeek provider (multi API key), compute costs (last question / session / today-project / today-all) from token usage with a user-editable price tabl
v1.16.0 · MIT
Quality gate for AI/Codex-generated pull requests: blocks TODO leftovers, leaked secrets, sloppy commits and red CI before they reach main.