dsh-keyboard-history
Pure ↑/↓ input history for the DSH web composer: recall previously sent messages with arrow keys. Nothing else.
89 results
Pure ↑/↓ input history for the DSH web composer: recall previously sent messages with arrow keys. Nothing else.
Session Workbench for DeepSeek Harness: session-library full-text search + recall + conversation-view management. 会话工作台:会话库(全文搜索历史会话,一键以 @引用 召回给 AI)+ 会话视图(管理会话标签栏 显示/隐藏 + 排序)(session search / recall / view management / 会话视图).
Long-term memory for DeepSeek Harness agents: automatic recall each turn, a retain/recall/reflect tool, standing rules, and visibility you scope to the whole bank, a preset, or a session.
会话记忆 → OKF 知识沉淀插件:预测驱动的神经自我学习记忆系统。把会话中高价值内容按 OKF v0.1 规范沉淀为长期记忆,跨会话自动唤起。Session-to-OKF memory plugin with neuro-self-learning (predictive recall, uncertainty-driven capture, reinforcement feedback).
DSH conversation checkpoints: list every user instruction, jump/scroll to it, roll the visible conversation back to it (optionally with file snapshots), recall/edit sent instructions, show this round's file changes inline under the conversation, and a VS Code-like diff viewer (unified/side-by-side) with per-file undo.
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.
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.
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.
SodaMem memory layer for the DeepSeek Harness (Cordis): unconditional per-turn recall and per-turn-close retain.
A persistent memory plugin for DeepSeek Harness that enables agents to store and recall information across sessions — DSH-native tools with atomic storage, validation, and concurrency-safe reads
DSH Agent 跨会话全局记忆插件:会话开始注入条目级索引,模型按需 recall 记忆全文,显式保存/搜索/删除,数据仅存本机 $DSH_HOME/memory/
Long-term memory for stock DeepSeek Harness: key/value store with question-time recall, plus optional migration from official ChatGPT, Claude, Gemini, and DeepSeek exports.
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).
ego lite for DeepSeek Harness, with a memory it keeps: the agent recalls what it learned about a site before it acts, promotes a script that worked into a reusable site tool, and hands you the keyboard through a real dsh prompt when a page needs a human.
旁路捕获窗 + /recall 引擎:把想法投进一个安静的独立新会话,压缩当前会话最近 10 句作为背景(不进主线上下文、不切主线视图)
Four-layer long-term memory for DeepSeek Harness (L0 conversation → L1 atoms → L2 scenes → L3 persona) with auto-recall and auto-capture — adapted from TencentCloud/TencentDB-Agent-Memory
Clipboard history plugin for DeepSeek Harness: monitors the system clipboard and exposes recall/copy tools.
AutoResearch suite for DeepSeek Harness: arxiv recall, LQS scoring, research state panel, stall guardian, five-persona peer review, plus the research-ui visualization feature-switch control plane.
Automatic TMCRA recall, injection, and role-separated writeback for DeepSeek Harness
Arrow-key input history for the DeepSeek Harness Web GUI: press Up/Down in the chat composer to recall previously sent messages, with a floating history dropdown.
Long-term cross-session memory plugin for DeepSeek Harness (L5 + L7 layers): SQLite-backed, FTS5 + optional embedding recall, append-only audit log, single-bundle dual-face packaging.
DeepSeek Harness host plugin: archive raw tool results into the session folder, clear them from the visible conversation at round boundaries (or per-step in overclock mode), and let the model recall them through a read_tool_result_log(turn, step) tool.
OpenViking memory & context bundle for DeepSeek Harness: auto-recall, session capture, threshold commit, offline outbox replay, self-contained MCP tool bridge, viking:// URI guard.
Living memory for DeepSeek Harness — self-tending knowledge base: nightly patrol, temporal decay, RRF hybrid recall, knowledge graph, telemetry. Built by 暖暖 (NuanNuan).