Solidify DSH session history step by step: rewrite tool results in place to the facts the model actually kept, so long conversations stop re-sending noise every turn. Costs tokens and time: a ~770-character contract in every request, plus one extra full-context request and round-trip per step when stepSummary is on.
Disk-usage audit for DeepSeek Harness (dsh) data directories: total size, per-directory breakdown, largest files, oversized-file warnings (session logs can hit hundreds of MB), cleanup suggestions. Zero runtime deps, read-only. CLI + agent-callable disk_audit tool.
dsh plugin: compiles a rough need into a versioned task book, then hands it to any AI window losslessly via a read-back handshake (/forge /relay /ack /answer /forge-list)
Persistent, model-editable memory/notes store for DeepSeek Harness. Adds memory_set/get/delete/search tools backed by ctx.storageDomain so facts survive across sessions (dsh-plugin).
DeepSeek Harness(DSH)第二大脑载入器:把有硬上限、带时间戳的脑快照(身份+状态指纹+未决项+指针与边界)注入每个新会话;只读、零写入、fail-loud、零依赖。 | Second Brain loader for DSH — a bounded, timestamped snapshot of your local brain in every session prompt; read-only, zero-dependency.
DeepSeek Harness bundle: register Claw Orchestrator as an ACP subagent provider — delegate a dsh subagent to a multi-engine council across Claude Code, Codex and Cursor.
System-1 decision models (Jev/Laya/Kev-class) as the governance layer for an LLM agent context lifecycle: growing association graph over session segments, relevance-gated recall with Trace-as-State ordering, and plan pre-ranking — measured in solve rate, cache hit/miss tokens, cost and latency. DSH plugin + harness-agnostic proxy.
DeepSeek Harness plugin: when a run finishes or needs approval, get a link on your phone, hear the result from an ElevenLabs voice agent and say what to do next