vibe
Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.
355 results
Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.
Chinese-platform last-30-days research skill covering Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Includes Markdown, JSON, compact context, and Guizang-inspired Swiss/IKB HTML report output.
A DeepSeek Harness plugin for context insight and management, with context dashboard and context command, for understanding how the context is made of, and how it evolves.
Local-first, self-hosted AI agent runtime with Claude Managed Agents-style APIs, sandboxed sessions, memory, tools, audit, replay, and a local Console.
Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
Install the full dsh-mnemon integration from the Mnemon repository.
DeepSeek Harness MCP Connector and MCP Server marketplace with over one hundred MCP connectors, continuously updated. Discover, authorize, and manage connections in one place; supports OAuth 2.0 PKCE, API keys, stdio/HTTP, mcpServers JSON import, and tool
Local-first memory & context harness for coding agents
Previewable cross-preset session migration for DeepSeek Harness with bounded, fixed-schema handoffs
Visual conversation map for DeepSeek Harness: an infinite whiteboard where every session is a card — drag to arrange, double-click to start a chat in place, draw an edge to fork a new session with injected context. Built for ADHD-friendly spatial memory. · DSH 可视化对话地图:会话即卡片,双击即聊,连线分叉带上下文的新对话。
Native Rapid-MLX provider for DeepSeek Harness — teaches DSH what the local server already knows (memory-fitted context via max_model_len), plus model-management tools and a /rapid-mlx overview.
DeepSeek Harness Desktop 用量小宠物:用逐帧角色动作反馈运行状态,并展示上下文、终身 Token 用量与历史趋势。
DSH diff-viewer plugin: PiUI-style visual diff surface (split/unified, change bars, real file line numbers, word-level marks, collapsed context, windowed rendering) replacing the stock DiffBlock for write/edit tool calls. Registers into the ui-tool keyed toolview slots.
DSH 上下文注入审计插件:统计 AGENTS.md 指令链 / 技能目录 / 工具 schema / MCP 工具的 token 成本,检测重复与冲突;原生 Context Doctor 面板 + context_audit 工具。
Token-efficient assistant discipline for concise answers and task execution. Use when the user asks for direct, low-token work, or invokes this skill; includes optional file and Windows encoding utilities declared below.
MCP bridge: lets ChatGPT Web create, view, continue and control DeepSeek Harness (DSH) agent sessions through the official MCP protocol. The bridge only connects; DSH keeps its session, agent, tool, approval and workspace security model.
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
DSH Agent 上下文浸泡器:System Prompt 注入五维认知图鉴(宪法+速览常驻,全文技能化按需),末尾 HTML 注释快照提取链演化状态,历史快照滑窗保留与漂移自愈回路
VCC-style instant, near-lossless deterministic compaction engine for the DeepSeek Harness — a drop-in replacement for @deepseek-ai/dsh-compaction-basic
OOMOL Connector integration for DeepSeek Harness: connect apps and call Actions through progressive MCP discovery.
DeepSeek Harness plugin: incremental file mounting with read dedupe, version-aware invalidation, and a mounted-files view (host half + web client half)
A live context-window donut for DeepSeek Harness: token usage, compaction savings, and cost at a glance
Reduce large agent tool output by what it means, not by where it was cut.
Provider Model Configurator for DeepSeek Harness: view, create, edit, copy and delete model entries (context window, max output, modalities, reasoning efforts) across your configured providers, with quick-fill from the pi-ai preset catalog.