dsh-context
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.
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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.
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.
Local-first, self-hosted AI agent runtime with Claude Managed Agents-style APIs, sandboxed sessions, memory, tools, audit, replay, and a local Console.
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
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
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.
Full session management for the DSH web UI: delete (with trash/restore/purge), restore archived sessions, activity stats, continue/pause, fork to a new chat, unread markers, and open log folders. Plus a global context compaction threshold. No harness changes.
Proactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
A bilingual floating pet for DeepSeek Harness with runtime status, context and lifetime token usage, trends, and optional completion sounds.
Recursively isolated follow-ups for DeepSeek Harness: branch from any answer and keep branching at any depth without touching the main task.
Context-window metadata catalog and settings UI for configured DeepSeek Harness model routes.
Cut token cost without cutting model intelligence — a DeepSeek Harness (dsh) bundle plugin: structure-aware compression + TOON-style lossless encoding first + reversible spill-to-disk + real-time dashboard.
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。
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.
更好的右键:为 DeepSeek Harness 应用封装端提供原生风格的完整上下文菜单。
Model-driven context-window rollover bundle for the DeepSeek Harness: fresh working context, durable model-managed notes, a small verbatim recent tail, and targeted history recovery — no summarization.
Curated, verified MCP server bundle for DeepSeek Harness (dsh): one install brings demo, memory, filesystem, GitHub, Playwright and remote HTTP MCP servers, with a connectivity verifier and CI checks.
DeepSeek Harness plugin bundle: optimize raw instructions into professional Role / Task / Context / Format prompts through the harness llm service
L0~L3 分层蒸馏记忆插件 for DeepSeek Harness:自动捕获对话(L0)、抽取原子记忆(L1)、整合场景块(L2)、蒸馏核心画像/团队方法论(L3),并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
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.