v0.2.9 · MIT
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)
v0.5.5 · Apache-2.0
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.
v0.5.5 · Apache-2.0
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
— · Apache-2.0
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
v0.1.11 · MIT
DSH 自定义模型思考等级管理与偏好记忆插件:原生设计语言、全档位思考配置与无感隔离式跨会话偏好记忆。
— · MIT
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
v0.5.8 · MIT
DSH plugin: connect to MCP servers, discover tools, and register them for direct model invocation with retry logic and statistics
— · Apache-2.0
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
v1.0.0 · MIT
DSH 声音提醒 + 对话直达插件:多对话并行时,哪个对话有回复就出声提醒,点右上角卡片直达对应对话;切到别的应用时还有系统级通知(macOS 通知中心 / Windows toast),点击直达。当前对话当/当当(crisp 档),其他对话叮/叮叮(soft 档)。
— · no license
Governance standard and reference toolset for LLM-maintained knowledge corpora
— · Apache-2.0
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
v0.1.0 · MIT
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.
— · no license
Use this cross-platform skill in Codex or Claude Code to establish repository-local continuity memory so a future agent can recover objective, status, decisions, validation, risks, and next actions without relying on previous chat history.
— · no license
Model Context Protocol(MCP) 编程极速入门
v1.2.2 · MIT
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
v0.5.3 · MIT
Run budgeted reports and datasets with Hound, Webhound's DeepSeek V4 Pro + GPT-5.4 research harness, and return inspectable cited evidence.
v0.2.1 · no license
Local-first DeepSeek Harness plugins for product research, context routing, plugin preflight, and compatibility monitoring.
v5.4.2 · MIT
HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven, BMAD-METHOD plan, so Claude Code, Cursor & Gemini CLI stay locked to it. A CLI-enforced state machine for agentic coding. Now builds DeepSeek DSH Plugins. DeepSeek Harness、DSH 插件、AI 编程、BMAD 方法