플러그인

Session-aware local notes for DeepSeek Harness: capture notes and page selections in a floating Apple Notes style panel, let the LLM classify topics, auto-inject convention notes into the system prompt, and dispatch todos with recall context to active sessions.

Compaction fallback for compaction-basic: when its LLM summary throws, comes back empty or cannot fit the window, the span is compiled deterministically with a seq pointer on every line (vendored dsh-compaction-instant compiler). Adds recall and search tools, /recall and /context commands, an idle trigger at 45% of the window and an on-disk span archive. The engine mounts as one row in the agent preset (docs/dsh-integration.md).

Publishes a lesson into the DSH conversation: the dependency spine, the question and the vault's drawings, drawn in the vault's own palette.

Layered memory for DSH whose agent-facing surface is 10 tools: high-privilege writes (memory_add, memory_delete, memory_import), rumination controls (memory_ruminate, _cancel, _status), and a memory graph (memory_search_graph, memory_expand_graph_node), built over an L0-L3 distillation pipeline that recalls and injects relevant memories before each model step.

Conversation enhancements: a history-input overlay (Alt+Up with workspace/session/global/prompt scopes), recall of unapplied interjected messages, conversation forking with fork-family version switching, and optional auto-resend after forking (off by default).

Cross-session long-term memory for the DeepSeek Harness: a two-phase extraction/consolidation pipeline over a file-based memory workspace, recall injection, a citation feedback loop, lease-based job semantics, plus a settings page, a sidebar status panel

Knowledge base with a corrective acquisition loop for DeepSeek Harness: when the agent keeps hitting the same failure, a background worker fetches the web under a rate limit, distills the result into a staging area, and only a two-stage commit makes it recallable — pages without sources are refused.

Self-tending living memory in one local SQLite file — a nightly patrol dedupes, merges, decays and cross-links entries on its own, with seven-signal RRF hybrid recall (FTS5 + jieba Chinese-first tokenization, optional vector KNN, graph PPR), a typed knowledge graph, conflict detection instead of silent overwrites, and web telemetry panels.

Coding retrospect distilled memory for DSH: distills rejected solutions, pitfalls and constraints from each turn via a local LLM, tags them into MemOS (type:rejected_solution), and boosts weighted recall on coding tasks via agent/pre-step.

Arrow-key input history for DSH 0.1.2-alpha.1: press ↑ in an empty composer to recall this session's prompts, ↓ to go forward, Esc to restore the draft.

Persistent memory for DeepSeek Harness with curated facts, automatic turn retention, and graph- and vector-ranked recall.

Cipher memory platform as a DSH bundle: four memory types (attention, experience, preference, cognitive) sedimented per turn by four memory agents, cross-session deterministic recall injected via systemPrompt.context, insight review kept out of user-facing output, per-session UNNI/LOOP modes with memory-driven auto-continuation, memory search/ingest tools, plus a settings page (SOUL editor) and an AgentPool panel.

Recall previously sent messages in the input box with Up/Down, and archive a workspace session from its right-click menu.

A living memory workbench for DeepSeek Harness: watch the Hindsight bank grow (7-day curve, recall heat, timeline) and manage knowledge pages and background tasks, with the local daemon auto-started by the plugin.

Forces periodic Engram memory recall and save reminders for DeepSeek Harness agents: injects a dynamic system-prompt context that reminds the model to load prior session memory at the start of a session, and to save new decisions/bugfixes/learnings every

Mnemosyne memory for DeepSeek Harness: remember / recall / forget / stats / sleep tools, embedded skill, auto-setup, optional auto-sync/prefetch, and a Settings panel. Data lives under ~/.dsh/mnemosyne.

Recall (撤回), edit-and-resend (编辑重发) and regenerate (重新生成) for DeepSeek Harness conversation messages — Web and Desktop

DeepSeek Harness 영구 메모리: 메모리 읽기/쓰기/검색 도구, 턴별 자동 기록, 프로젝트 범위 기억 인출 주입, 관리 UI, 비파괴적 Claude Code 메모리 가져오기 기능 포함.

웹 입력창 개선: 위/아래 화살표 키로 세션 전반에 걸쳐 전송된 프롬프트를 다시 불러오고, Ctrl+R로 검색하며, 서식 있는 초안을 복원하고, 도킹된 /btw 또는 /side 대화를 엽니다.

DeepSeek Harness에 타임라인 기억을 보강합니다: 고정 폭의 추가 전용 사실 로그 + agent가 스스로 유지하는 요약 피라미드로, 고정된 읽기 예산 아래에서 recall 비용이 기억량에 따라 증가하지 않습니다.

DeepSeek Harness용 자동 교차 세션 GoodMemory 호출 및 쓰기 백

DSH 플러그인: 자동 듀얼 피어 Honcho v3 메모리, 컨텍스트 호출, 검색, 추론, 결론 및 상태 진단

세션 시작 시 주입되는 장기 기억: 전역 및 프로젝트별 범위의 선호·사실·요약·지식, `agent/pre-step`을 통한 예산 기반 회상, 영속 JSON 저장소.

SodaMem 데몬이 뒷받침하는 이중 시간 기억: 프롬프트가 조립될 때 회상 결과가 기여되고 닫힌 모든 턴이 수집되며, 읽기 경로에는 도구 호출도 모델 호출도 없습니다. 회상된 각 사실은 출처 턴을 인용하고 유효 기간을 가지므로 대체된 사실은 더 이상 검색되지 않습니다.