dsh-task-relay
DSH 跨会话任务接力板:基于持久队列的跨会话/子agent 任务接力 + 交接摘要。Task Relay: cross-session task queue with handoff notes for agents and subagents.
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DSH 跨会话任务接力板:基于持久队列的跨会话/子agent 任务接力 + 交接摘要。Task Relay: cross-session task queue with handoff notes for agents and subagents.
DSH 跨会话记忆插件 | Cross-session memory plugin: YAML 存储、embedding 语义检索、标题优先注入、两级自动注入
Native, per-workspace long-term memory for DeepSeek Harness: facts and profiles on DSH's own storage-domain, cross-session recall through session-query FTS, approval-gated writes, and cited provenance — no external server, no extra runtime dependency.
Usage dashboard for the conversation composer dock: peak/valley pricing with period progress, live DeepSeek balance, cross-session usage history, analysis charts and by-date drill-down
Cross-session memory cue bank for DeepSeek Harness: builds a persistent event-cue library (keywords, user language idiosyncrasies) and re-activates remembered event details on topic switches, mirroring human episodic recall.
DeepSeek Harness achievement & gamification plugin: cross-session badges for turns, tool calls, sessions and daily streaks, with a badge panel, unlock toasts and a ctx.achievements service. Zero core changes.
Local, storage-bounded cross-session search for DeepSeek Harness conversations with SQLite FTS5, Chinese segmentation, and message-level jump targeting
Indexed cross-session search for DeepSeek Harness — search, list, and read past and current DSH sessions through the built-in sessionQuery service. Zero runtime dependencies.
Cross-session long-term memory for DeepSeek Harness: dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.
Work Continuity for DSH — goal/decisions/checkpoints/next-steps as explicit WorkState, decoupled from generic memory
Token usage dashboard for DeepSeek Harness: cache, context, efficiency, per-step details, and cross-session comparison
dsh-experience-flywheel · DSH 经验飞轮插件 — agent cross-session experience memory + dual-acceptance gates (auto query/inject via agent/pre-step middleware; exit-1 gate scripts)
DeepSeek Harness plugin: cross-session memory for the model. Full-text search all past sessions (SQLite FTS5 via ctx.sessionQuery) and bring the strongest matching excerpts back into the current context — recall earlier decisions, commands, and mistakes.
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.
Cost governance & budget enforcement for DeepSeek Harness: multi-provider pricing, per-model cost accounting, budget quotas with soft/hard thresholds, and cross-session trends.
Bidirectional cross-session collaboration bundle for DeepSeek Harness
Automatic TMCRA recall, injection, and role-separated writeback for DeepSeek Harness
DSH local cross-session memory plugin: capture turn summaries, inject recent days, and search all historical memory with pure JS keyword matching.
DSH web plugin: a cross-session Window Stats view tab showing conversation progress and token usage for all sessions.
Automatic cross-session GoodMemory recall and writeback for DeepSeek Harness
Semantic long-term memory for DeepSeek Harness: embedding-based retrieval over a persistent cross-session memory store, with model-facing tools, proactive per-question recall, automatic conversation summarization, and auto-selected embedding provider (apiKey present → API, otherwise local).
Cross-session persistent cost ledger for DeepSeek Harness: logs every LLM token usage to SQLite and exposes record/query/budget tools. Built-in DeepSeek pricing, overridable via config.
dsh的跨会话记忆管理插件,让agent记住每一个任务的内容和进度。包含命题图、三层内存漏斗、混合向量 + 词法检索(RRF)以及浏览器端审查面板。 | Cross-session memory management for DSH — lets the agent remember the content and progress of every task while executing. Includes a proposition graph, three-layer memory funnel, hybrid vector + lexical retrieval (RRF), and a browser-side review panel.