AGI 的长期记忆基础设施。让 AI Agent 拥有不可遗忘的自我。跨会话记忆 · 持续学习 · 可审计信任（智能论 v3.2）

Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding

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

Multi-session terminal workbench plugin for DeepSeek Harness

Session-aware sandbox escalation compatibility plugin for DeepSeek Harness/DSH第三方模型会话沙箱升级兼容插件

DeepSeek Harness 个人中心:用量统计 / 自定义指令 / 成本估算 / 桌面宠物(纯本地，不联网）。 Personal center & custom instructions for DSH

DeepSeek Harness dual-face plugin: session-isolated file upload with colorful composer cards + read_document tool (text/PDF/DOCX/XLSX) with content sniffing and LRU caching

DeepSeek Harness 桌面版（Windows）· Electron desktop shell for DeepSeek Harness — 双击即用 / double-click to run · 支持选区截图提问、系统托盘、会话管理 / region screenshot, system tray, session manager

dsh plugin bundle porting the omp advisor subsystem: a per-session reviewer model that observes the primary transcript and injects severity-ranked advice (nit/concern/blocker).

Desktop cockpit for DeepSeek Harness (dsh): token usage & cost tracking, budget alerts, runtime auto-update with rollback, Quick Ask hotkey, scheduled tasks, session search. Win+macOS. DeepSeek Harness 桌面驾驶舱：成本/用量监控 · 自动更新 · 定时任务

Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.

DeepSeek Harness 的 TencentDB Agent Memory 移植：L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像，自动召回注入 + 记忆/对话搜索工具；复用现有 ~/.memory-tencentdb/memory-tdai 数据；附 Web UI 设置栏。

本地优先、零普通运行时依赖的 DSH 项目记忆：有界会话冻结 Hot Memory、倒排 BM25 召回、生命周期与缓存命中优化、中英双语 GUI。 / Local-first DSH project memory with zero regular runtime dependencies: bounded session-frozen Hot Memory, inverted-index BM25 recall, lifecycle, cache-aware design, and a bilingual GUI.

DeepSeek Harness 的 soul.md 风格人设 + 长期记忆插件：设置页输入人设卡名称和内容即可，文件由插件自动管理；可按工作区指定人设、聊天框可给会话单独切人设；AI 可自行演化人设与记忆（soul_read/soul_update/memory_*）。

DSH 上下文注入审计插件：统计 AGENTS.md 指令链/技能目录/工具 schema 的 token 成本，检测重复与冲突；Web UI 圆环面板 + context_audit 工具。Context Doctor for DeepSeek Harness: audit instruction-chain / skill catalog / tool schemas token cost.

Self-evolving memory for DeepSeek Harness (DSH): earned experiences, diary/fact semantic memory, concern tracking, and an append-only audit ledger.

ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.

Unified DSH checkpoints: session + workspace + config three-state snapshots with one-shot rollback — /checkpoint and /rewind commands, a checkpoint tool, automatic interval snapshots, a Settings page timeline with pairwise diffs, and seed-replay session r

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

Cross-session plaintext memory plugin for the DeepSeek Harness — deterministic BM25 recall, human-owned, no embeddings

Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.

DeepSeek Harness chat history and session management: search archives, restore conversations, and delete safely

Local-first DeepSeek Harness plugins for product research, context routing, plugin preflight, and compatibility monitoring.

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.