aegis
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
292 results
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
Native local project taskboard bundle for DeepSeek Harness
独立 dsh 插件:会话内初始化/接入本地王国,Territory/Binding CRUD + Task 治理闭环(Worker Claim ≠ Fact)+ Execution 生命周期 + v0.8 Persistent Governed Worker(长期 Session / Territory Affinity / Capability Gate / Execution Lease / Dispatch Evidence / Reconciliation)+ 本地 GUI 通道
Task-specific React apps for DeepSeek Harness with state carried into the next Agent turn
Run coding tasks on schedule in fresh Agent sessions, and manage automations from DeepSeek Harness Web or an Agent
Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.
Native DeepSeek Harness plugin for comparing AI Skills on the same task and choosing a winner from a local ForkProbe report.
把 DeepSeek Harness (dsh) 装进飞书/Lark 的 bot,扫码即用:dsh Web 可视化设置、流式卡片、项目工作区、并行任务、多角色 Agent、安全网守护。| Bridge DeepSeek Harness into Feishu/Lark with visual dsh Web settings, streaming cards, workspaces, parallel tasks, roles and a safety-net guardian.
Task-aware two-phase DeepSeek Harness preset: spec/react/weak first-request anchors (bash+read±edit/write), then the full Standard tool catalog after the first tool call.
Secure mobile gateway for DeepSeek Harness with realtime sessions, tasks, goals, commands, approvals, and file transfers
Live Agent Teams task, communication, subagent, and Workflow topology for DeepSeek Harness
TaskPack: an open, offline task-handoff container. Task Passport is the durable state; TaskPack is the box it travels in.
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
Closed-loop trajectory policy plane for DeepSeek Harness: task episodes, revision-aware verification debt, benchmark-aware stop control, adaptive effort, and scoped capability control.
在独立 DSH Session 中按计划执行编码任务,支持 Web 设置页与 Agent 双入口管理。
Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
💗 一套给 DeepSeek Harness 的粉色 Hello Kitty 主题皮肤 + 任务完成/提问提醒插件(Sweetheart Workspace Expressive skin & Hello Kitty Task-Done Notifier)
DeepSeek Harness plugin: per-event task-completion and attention sounds for turn-end / approval / question / plan-review / goal-blocked / task-failure, each with its own sound (built-in synth, local audio file) and volume (Web UI)
后台任务状态条——对话输入区上方的任务进度 UI(官方 dock 槽 + Node 轮询路由)
DeepSeek Harness plugin bundle: optimize raw instructions into professional Role / Task / Context / Format prompts through the harness llm service
DSH 个人工作台:日历 + 层级任务 + AI 澄清/拆解/执行/复盘 + AI 智能排序/日报周报 + 桌面提醒
dsh 定时任务插件:在左侧栏“新会话”下方提供“定时任务”入口,支持 cron 定时执行 shell / python / nodejs 脚本、skills 与自定义 agent 任务,可对接 chicheng-push 与 messaging-core 推送通知、成功后自动归档会话,移动端适配
Self-contained Trellis workflow trigger for DeepSeek Harness: per-turn breadcrumb injection via agent/pre-step, a bundled skill provider, and DSH-native task/phase state resolution. No Trellis AGPL code is vendored; workflow semantics are rewritten and licensed MIT.
Track Bridge: embedded task-management engine for DeepSeek Harness — decision-point protocol, capture wall, and Linear-shaped issue store over session events + storage KV