dsh-llmwiki
Local Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki
381 results
Local Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki
Automatic cross-session GoodMemory recall and writeback for DeepSeek Harness
DSH plugin exposing Windows device information tools — one tool per Win32 device category (time, system, cpu, memory, disk, gpu, network, battery, processes, usb, audio, printers). Read-only WMI/CIM + Node os collectors.
DeepSeek Harness plugin: Nocturne Memory client — automated long-term memory (boot/read/search/create/update/delete) backed by your own Nocturne MCP server.
A DeepSeek Harness plugin that integrates claude-mem: query, context injection, manual save, and session lifecycle over a local claude-mem worker's HTTP API
经验库(更有经验的DeepSeek):实时采集/打标队列/半自动+全自动空闲派活/位置索引/10本试验经验技能书+benchmark数据。适配 meow-memory 教训层。host 半 esbuild 自包含产物 + export default 插件形态。
/fuck — read your Claude Code & Codex conversation history in parallel, analyze your preferences and tool habits, migrate them into DSH as a persisted profile, and keep remembering them.
Personal prompt profile engine for DeepSeek Harness: message-level prompt rewriting and automatic profile learning with a bilingual settings panel and conversation dock.
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).
Durable layered memory (global / user / project / branch / daily), confirmation-gated writes, todos and skills. Preserves ~/.dsh/memories files in place with in-place adoption, SHA-256 verified backup and rollback.
Evidence-backed, human-approved project memory for DeepSeek Harness
DSH web plugin: event-driven skill self-evolution. Watches agent execution traces, crystallizes reusable skills from successful turns via LLM review, progressively improves them, and manages everything in a dedicated Settings section.
订阅 turn/end 对本轮完整对话做 LLM 蒸馏(被否决方案/踩坑记录/工程约束),打 type:rejected_solution 标签写入 MemOS;编码任务时对 rejected_solution 记忆做检索权重提升。复用 MemOS 向量检索、归档淘汰、生命周期能力。
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.
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.
Memory plugin with built-in governance for DeepSeek Harness
Cairn — long-term memory for the DeepSeek Harness: persistent cross-session memory (store, tools, auto-extraction, context injection) as one installable profile bundle
把 cipher 的持续思考/三中台/四类记忆以 UNNI/LOOP 会话模式接入 DSH
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.
Git-native, auditable long-term memory for AI agents
Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval
DeepSeek Harness native immersive roleplay studio & companion system. Unifies decoupled character cards with Hindsight graph memory.
Native adaptive intelligence layer for DeepSeek Harness: memory, skills, /learn, background review, and curator — no Hermes or Python dependency.
Memory Fortress for DeepSeek Harness: 5-track layered memory, self-evolution, knowledge graph (SQLite+FTS5), status pill. 本地记忆堡垒:五轨记忆·自我进化·知识图谱·状态灯。