@aiwayds/dsh-dcp
Deterministic context-pruning compaction backend for dsh (DeepSeek Harness) — zero-LLM summaries, /dcp command, works out of the box. Design references Opencode-DCP/opencode-dynamic-context-pruning.
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Deterministic context-pruning compaction backend for dsh (DeepSeek Harness) — zero-LLM summaries, /dcp command, works out of the box. Design references Opencode-DCP/opencode-dynamic-context-pruning.
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.
agentmemory for DeepSeek Harness (dsh): full memory_* tools, capture hooks, and context injection over the local REST server
为 DeepSeek Harness 极简模式增加自动上下文压缩、/compact、/context 和模型主动压缩,解决极简模式长任务无法持续工作的问题。
Context7 up-to-date library documentation for DSH: context7_search / context7_get_docs model tools backed by the Context7 Public API v2 (context7.com).
Feishu/Lark bot bridge for DeepSeek Harness with approvals, progress updates, context, and file transfer.
One-way structured conversation, project, MCP, memory, and context migration between Codex and DeepSeek Harness. Codex 与 DSH 的单向结构化迁移插件。
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.
Yukino (Yukinoshita Yukino) standalone route plugin for DSH: session tree by workspace, task-done voice alerts, no context injection into DSH.
DSH web plugin: roll back to before any of your questions, or edit the last one and resubmit, restoring the workspace files the discarded turns produced.
Inject rules when needed, without wasting context. DSH port of opencode-stream-rules.
Codex-style context visibility for DeepSeek Harness: live context-window occupancy, composition breakdown, KV-cache hit rate, and a GitHub-style 53-week usage heatmap
Codex-style temporary side conversations for DeepSeek Harness.
Native continuity recovery for long-running DeepSeek Harness agents
Context compression tool (context_compact): the agent writes the replacement checkpoint itself and hands it to the host compaction engine, which skips the LLM summarizer call; automatic compaction stays on the official engine.
Structural code MCP server and batch CLI for compact TypeScript/JavaScript reads and hash-bound AST edits.
Zero-dependency MCP client bridge for DeepSeek Harness: connects stdio/HTTP MCP servers and auto-registers their tools for the agent.
Adaptive Context Plane core bundle: Evidence Ledger + Governance + Context Composer + User Model (explicit)
Select text in a conversation to get a floating toolbar: copy, quote-reply, ask/explain/translate/summarize, and a /btw side-question console (context-only answers that never enter the conversation). AI actions reuse the current session by default, with a per-action main-thread/side-channel destination switch.
In-process graph memory for DeepSeek Harness, backed by TriviumDB.
GPU-aware execution layer for DeepSeek Harness: gpu_status / gpu_exec / gpu_run_bg tools, per-step GPU context injection, automatic CUDA_VISIBLE_DEVICES card selection
DSH web plugin: adds a one-click Compact button and a New Session button to the conversation context meter panel. Compact submits /compact to summarize older history; New Session starts a fresh session in the same workspace (agent preset and permission settings follow the deployment default).
Cache-stable progressive tool discovery and dispatch for DeepSeek Harness
Codex-style /btw for DeepSeek Harness: ask a side question answered by a conversation-seeded subagent, keeping the answer out of the main context