dsh-knowledge-forge
Local-first automatic Wiki and Skill distillation for DeepSeek Harness
388 results
Local-first automatic Wiki and Skill distillation for DeepSeek Harness
Markdown folder long-term memory for DeepSeek Harness: one file per fact, an index line per memory, mounted into every request as a system prompt section
Evidence-first long-term project memory for DeepSeek Harness
Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming.
Native DeepSeek Harness (dsh) plugin: hybrid local and XMemo cloud memory for Cordis-based agents.
Evidence-backed working memory for DeepSeek Harness: a cited ledger of what already worked in this workspace, built from the session log you already have
DSH 自进化长期记忆插件:回合后 LLM 自动提取记忆、每步召回注入、语义重排检索、冲突合并、learned-* 技能沉淀,附记忆库管理面板。记忆文件默认存于 harness 根目录($DSH_HOME,未设时 ~/.dsh)下的 imemory/ 子目录,可用 config.memDir 覆盖。
玩 · 酒馆模式完整插件:把 deepseek-harness 的酒馆模式一键打包为可分发、可安装的独立 DSH 插件。支持记忆系统、状态栏、立绘情绪、自定义变量表等功能。
An integrated starter plugin for newly installed DeepSeek Harness (DSH). Combines whale-girl persona injection, desktop pet, balance widget, notes, reminders, shared long-term memory, and low-token memory tools.
dsh plugins ported from eco-agent: permission gate, audit chain, memory tree
Let the AI know you. 让模型主动记下你的判断依据(原则/红线/工作方式),跨会话复用 —— 有容量、会遗忘、每条都说得出为什么记。
Unofficial community plugin: per-session Engram memory for DeepSeek Harness — spawns an engram MCP child per agent session rooted at the session workspace, registers mem_* tools per agent scope, and injects the Memory Protocol as a system-prompt section.
为 AI Agent 提供短期记忆缓存、长期知识沉淀、语义检索与持久化存储的统一记忆管理层
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.
PRO-LONG-style programmatic memory for DeepSeek Harness: appends every session event to a per-workspace log.txt that the agent retrieves with grep/python. Built-in write probe, /prolong status command and permission-deny counter.
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).
DSH 简化版记忆插件:SQLite 条目化记忆(标题/重要程度/来源/内容,增删改查)+ 日历与到点提醒(月视图+时间轴+待执行/已完成双tab),对话面板记忆 tab 与设置二级菜单,中英双语自动跟随。
Local Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki
/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.
Automatic cross-session GoodMemory recall and writeback 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.
DeepSeek Harness 插件:Hermes 式跨会话持久记忆。MEMORY.md/USER.md 纯文本存储 + 冻结快照注入 system prompt + memory_* 工具(add/replace/remove/batch/show/refresh)
Git-backed long-term memory for DeepSeek Harness: a local .mem git repo (single main branch, immutable entries, structured commit messages) with mem_search / mem_read / mem_write / mem_delete / mem_replace tools and fully automatic legacy migration (no CLI needed; the CLI remains for explicit control), auto-managed by the root agent with zero manual steps.
Install iHow Memory as a local-first shared memory plugin for DeepSeek Harness.