71 results
为 DeepSeek Harness 带来分层记忆（全局 / 用户 / 项目 / GIT 分支 / 每日）与自我进化（经验沉淀 + 技能自动创建）和技能管理、待办管理、CLI 调度（kimi/codex/grok/hermes 等外部 AI 统一调度）、临时信息便签，带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness.
Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness — a capability seam (ctx.memory service + local SQLite provider + memory tool + frozen snapshot injection), not another memory warehouse
DeepSeek Harness 表情包插件:内置官方-001 与大肥鱼两套图库,设置页扫描切换,send_meme 发图(Web/QQ)。
记忆核心（Memory Eternal）：自研的 DeepSeek Harness 记忆插件，不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault（自研去重、自研 CJK 检索、可 git 管理），设置页提供图形化知识库（统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗），Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。
DeepSeek Harness (DSH) local-first cross-session project memory: bounded cache-friendly Hot Memory, BM25 recall/cache, provenance, lifecycle and bilingual Web GUI; no embeddings, external service or bundled runtime dependencies.
Claude Code- and Codex-inspired long-term memory for DeepSeek Harness
Long-term memory for DeepSeek Harness: multi-channel retrieval and an evolving memory store.
Local-first persistent memory infrastructure for DeepSeek Harness: bounded hot-memory bootstrap, explainable cold recall (exact + Chinese BM25), lease-lock transactional writes, read-only governance, and trajectory review. DSH plugin host; Python stdlib + Markdown core. Zero database / vector service / external service dependencies.
Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation, context explosion prevention, global Soul identity
Long-term memory system for DeepSeek Harness: two-phase extraction/consolidation pipeline over session logs, with summary injection and memory tools
Cross-session long-term memory for DeepSeek Harness (dsh): durable JSON-file memory store with memory_save / memory_recall / memory_forget / memory_list model tools, installable as a dsh bundle.
Cross-session plaintext memory plugin for the DeepSeek Harness — deterministic BM25 recall, human-owned, no embeddings
Generic stateless dialogue compression that mimics human memory — forgetting-curve bounded context for LLM conversations, with a ready-to-use adapter module for DeepSeek Harness (DSH).
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
LMA (Layered Memory Architecture) 是一个为 DeepSeek Harness 设计的地基插件（Foundation Plugin）。它定义了 “记忆体（Memory Body）” 这一抽象概念及其挂载/卸载协议。 它与其他记忆插件的本质区别在于：LMA 是一个容器和载体，让 dsh-memory-evolve、EchoCore 等“能力性插件”可以挂载其上，它本身也内置了一套可开关的基础记忆流程，作为可选能力。LMA结束记忆功能的“一锅乱炖”，实现跨会话的结构化记忆机制。(目前功能还在持续完善以及测试，对于其他插件的接口在构想完整后逐步推动)
Retrieved ≠ injected: CBDC-gated memory for DeepSeek Harness — decides how memory is USED (use/verify/ignore decisions, feedback learning, full audit); local SQLite + FTS5, bounded, no extra model call
Memory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.
把 WorkBuddy 的文件式记忆系统移植进 DeepSeek Harness：用户级 + 工作区的人类可读 Markdown 记忆（~/.deepseek-harness/MEMORY.md 与 <cwd>/.deepseek-harness/memory/）。
Local, storage-bounded cross-session search for DeepSeek Harness conversations with SQLite FTS5, Chinese segmentation, and message-level jump targeting
给 DeepSeek Harness 补上时间轴记忆：定宽只追加的事实日志 + agent 自己维护的摘要金字塔，固定阅读预算下 recall 成本不随记忆量增长。
记忆搬家：把 Claude / ChatGPT / Claude Code 的历史记忆搬进 DeepSeek Harness —— 带逐字证据，逐条批准 | Move your Claude & ChatGPT memory into DeepSeek Harness (DSH), with verbatim evidence and one-by-one approval
MemoryHub (mh) integration for DeepSeek Harness: loads .memoryhub checkpoint memory on session start, saves dsh sessions back into checkpoints, and registers the mh workflow skill and tools
dsh自动进化记忆系统
Non-invasive SQLite hybrid memory and knowledge-graph plugin for DeepSeek Harness