Local and remote knowledge bases for DeepSeek Harness, with scoped recall, controlled write-back, and a Web management console

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

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Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Cross-session memory for DeepSeek Harness — plain markdown files, no database, no worker.

给 AI agent 用的长期记忆：记住的东西存成普通 markdown 文件，有大小上限的索引每次会话自动读入。支持 Claude Code、Codex、OpenClaw、Kiro 等，DeepSeek Harness（dsh）有专用插件 dsh-engramory。

Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

DSH Web 插件：会话管家（合并包）—— 会话历史文件（归档浏览与清理）与健康检查（体检 → 处方 → 出院），外加独立 FTS5 会话内容搜索索引（标题/内容双模式、增量同步、非破坏性整理与快照导入导出）。不碰会话日志、只做可逆处置。

给 DeepSeek Harness 的本地记忆层：养大肥鱼的可以下载来玩，经过测试下载之后比单纯用RAG和外部记忆库更有人情味更自然了。

Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.

把对话里说过的重要事情，变成持续可跟进的计划。 为 deepseek-harness 打造的个人助手：从对话中整理事项、跟踪变化，并在需要时提醒你。

Session Workbench for DeepSeek Harness: session-library full-text search + recall + conversation-view management (show/hide + reorder). 会话工作台：会话库（历史会话全文搜索与召回）+ 会话视图（标签栏显示/隐藏 + 拖拽排序）。

Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

A visual, non-linear conversation workspace plugin for DeepSeek Harness ; A canvas-based session explorer and branching workspace for DeepSeek Harness.

Fork of @deepseek-ai/dsh-agent-instructions that delivers the workspace instruction baseline as system-prompt sections, keeping the upstream mid-session reminder path.

Agent memory: long-term memory & agent memory handoff. Claude Code & Codex.