dsh-compaction-meta
元压缩:模型自己决定何时、如何压缩自己的上下文——列 surface、选区间、以自写文本替换;替换走官方 compaction 事务(检查点、配对平衡、可重建)。Meta-compaction: the model directs its own context compaction through the official compaction seam.
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元压缩:模型自己决定何时、如何压缩自己的上下文——列 surface、选区间、以自写文本替换;替换走官方 compaction 事务(检查点、配对平衡、可重建)。Meta-compaction: the model directs its own context compaction through the official compaction seam.
DSH Web 用户授权插件 — 用户名密码 + 通用 OAuth 2.0(内置 GitHub/Google/Discord 等模板)+ Solana/EVM 钱包登录。零依赖核心,纯配置接入
Maestro Harness meta-bundle: thin v2 aggregator over eight granular dsh-maestro-* runtime rows (remote, review, govard, memory, mobile, notifier, config, dashboard).
DevTools for DeepSeek Harness web: read-only Agent Runtime Trace — turn/step execution timeline, model latency (TTFT/decode), tool-call durations, retries, hook and turn end reasons. Metadata-first, durable events only, zero behavior modification.
dsh plugin: token-efficient prompt-side shim for the official MCP client — folds mcp__* tool schemas out of every assembled prompt and exposes two constant meta-tools (mcp_list / mcp_call) instead
DeepSeek Harness plugin: the Models+ settings page — a fully plugin-owned model/provider UI with per-model extension fields (reasoning efforts, input modalities, compat flags) and models.dev metadata prefill
Skill bundles for DeepSeek Harness: a bundle box holds a root skill and sub-skills, loaded by metadata (loadSubskills) or by model decision from body text.
MCP Apps Host: connects to an MCP Apps server, preserves _meta.ui in tool results, renders interactive HTML cards via sandboxed iframe, and bridges postMessage to MCP calls
Provider request metadata minimization extension for DeepSeek Harness
DeepSeek Harness web-search provider backed by a SearXNG instance: metasearch with no vendor API key and no account tying the queries together.
DSH plugin: auto-tiles oversized chat images into labelled grid pieces (row/col metadata, overlap-aware, multi-image group isolation) so the DeepSeek vision model keeps fine detail instead of the ~800px downsample.
Local OpenAI-compatible model-server discovery + tiered reasoning-metadata resolution for DeepSeek Harness (dsh).
MetaFlywheel — Meta-Problem Modeling (MPM) cognitive flywheel as a resident engine for LLM agent runtimes
HTML 解析:从 HTML 提取标题/meta/标题层级/链接/表格/纯文本等结构化数据
DeepSeek Harness plugin to audit and correct llm-pi-ai model capability declarations by probing the endpoint itself: out-of-range maxTokens, contextWindow, reasoning levels, image input.
允许 agent 在 DSH 里为自己动态增删工具。新增的工具可以跨 DSH 重启存在。Let the agent add and remove tools for itself in DSH; added tools persist across DSH restarts.
Independent team coordination, dynamic routing, usage ledger, and Web panel for DeepSeek Harness
元宇宙
DSH bundle: local Zotero MCP server (search, metadata, PDF fulltext, BibTeX export) for DeepSeek Harness
Marks the DSH Web GUI as untranslatable (html translate=no + google notranslate meta) so browser page-translation can never rewrite React-owned DOM and wipe composer drafts.
Execution trajectories for work that isn't code — a DeepSeek Harness plugin, starting with content production.
Web-search provider for the DeepSeek Harness (ctx.web): real internet search via a built-in in-process metasearch or DuckDuckGo only, no external API key, no external instance, zero runtime dependencies, plus an optional fully-local corpus full-text index.
MaxCompute (ODPS) data analysis plugin for DeepSeek Harness: metadata browsing, cost-gated SQL execution, background jobs and result export.
DSH Metafolder Plugin — visual meta-folders for the DeepSeek Harness sidebar workspaces: nest real workspace folders under named, collapsible groups, by drag and drop or the row menu. Paths, permissions, sessions and workspace ordering are untouched.