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Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log. 压缩率精确兑现,历史永不销毁。
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See what your AI agent protected: session security receipts, visible data provenance, task boundaries, and tool identity checks for DeepSeek Harness.
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DSH SuperAdvisor: on-demand second opinions with manual, model-tag, independent AI or approve-all policies
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CC Switch-style token consumption statistics for the DeepSeek Harness Web GUI: per-request usage log, real-consumption hero, request-time-bucketed trend chart, per-model peak/off-peak list pricing, per-project and per-model stats, and account balance.
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SearXNG-backed search provider (local meta-search JSON API) for the DeepSeek Harness web capability seam (ctx.web)
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DeepSeek Harness(dsh)的 MCP / Skill / 记忆管理工具:写入前先连接自检,连不上不写;从 Claude Code / Codex 一键迁移;可装成 dsh 插件,在 Web 里用 /mcp 命令和卡片操作。
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SHOPLINE AI Toolkit for DeepSeek Harness (DSH): bridges the official SHOPLINE Developer MCP server and ships SHOPLINE agent skills, mirroring the Shopify AI Toolkit architecture. dsh-plugin.
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OMP-styled interactive terminal profile bundle for DeepSeek Harness
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Inspect and manage the live instruction chain and project skills for the current dsh session, with in-place creation and editing — what you see is what the model gets
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Tensorlake sandbox execution providers for DeepSeek Harness
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🐂🐴 牛马修仙看板:DeepSeek Harness 工时与修仙值统计面板——日/周/月三档统计 + 学年年历,十二境界修仙体系(炼气→宇宙洪荒)
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Third-party DSH WebUI enhancement plugin: custom backgrounds, theme colors, prompt presets, token visibility, and manual context compaction.
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Agent2Agent (A2A) protocol v1.0 plugin for DeepSeek Harness (DSH): outbound client (remote AgentCard skills as ctx.tools), inbound server (A2A JSON-RPC + AgentCard endpoint), and a settings dashboard of live A2A connections
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Model Pro — DSH plugin for llm-pi-ai provider lifecycle: create/edit, custom headers, enable/disable with uninstall-restore safety, smart routing, composites, observability, and per-model connectivity tests
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OpenCode Zen provider adapter for DSH harness LLM seam
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DSH profile bundle:git 提交固定使用环境自身作者身份(优先 gh CLI 登录账号,GitHub noreply 邮箱),GIT_AUTHOR_*/GIT_COMMITTER_* 环境变量注入压过一切 git config
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Model-reviewed Auto Approve permission preset for the DeepSeek Harness Web UI
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WebUI-managed encrypted credentials for DeepSeek Harness: one file, plaintext until a password is set, then AES-256-GCM ciphertext under an Argon2id-derived key with SHA3-256 fingerprints; per-request decryption, unlock lockout, leak-guard output redaction, and shipped-code integrity self-checks.
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Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
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API Key rotation pool for DeepSeek Harness: multiple keys per provider, weighted round-robin selection, automatic failover on 401/429/403, cooldown and recovery probing, usage statistics.
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DeepSeek Harness bundle wiring the @forgeax/game MCP server, its bundled ForgeaX Skills, and a workspace guard into a DSH profile.
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Unified agent memory for DeepSeek Harness — one shared Obsidian vault for every agent (dsh, Codex, Claude, Hermes). Ships the dependency-free Python core (search/promote/adjudicate/forget), a vault template, and a dsh plugin with memory_search / memory_show / memory_submit / memory_status tools. · 统一 Agent 记忆系统:多 Agent 共享一个 Obsidian vault,附零依赖 Python core 与 dsh 插件。
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DeepSeek Harness plugin: quiz-style reading (答题式阅读) of any Markdown document — 5-stage game loop (diagnose→level→guided reading→checkpoint→settle) with a Web sidebar panel and a reading-area tab.
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Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.