Memory

dsh-easy-ctx-manager

dsh-external/dsh-easy-ctx-manager

dsh-external

DSH context-management plugin: context saving and more (cordis.yml).

Repository is no longer available (checked 2026-10-31). This entry is retained for tracking and cannot be installed.

Repository

License: Unknown
Added: 2026-08-17
Maintenance: missing
Install kind: github

Manifest status: Not verified
Manifest path: -
Manifest checked: 2026-08-17
Lifecycle scripts: None found

Static manifest checks report declarations only; they are not compatibility or security review.

README

Source README · Read Chinese README

No README content is available.

Memory★ 56774

hindsight#coding-agents

vectorize-io

vectorize-io/hindsight/hindsight-integrations/coding-agents

Hindsight：会学习的 Agent 长期记忆系统，自动召回/保存、知识页、深度反思与按仓库隔离的记忆银行。

Added: 2026-08-16

View detailsdsh plugin --profile web add github:vectorize-io/hindsight#path:/hindsight-integrations/coding-agents

Memory★ 41231

dsh-memory-plugin

volcengine

volcengine/OpenViking/examples/dsh-memory-plugin

面向 DeepSeek Harness 的 OpenViking 记忆与上下文插件：pre-step 自动召回与画像注入、会话捕获、`viking://` URI 防护，以及对接 OpenViking 服务端的 recall/write 记忆工具。

Added: 2026-08-16

View detailsdsh plugin --profile web add @openviking/dsh-memory-plugin

Memory★ 12203

memos

memtensor

memtensor/memos

给你的 Agent 持久记忆与成长能力

Added: 2026-08-23

View detailsdsh plugin --profile web add @memtensor/memos-cloud-dsh-plugin@latest

Memory★ 3914

dsh-context

bowenliang123

bowenliang123/dsh-context

上下文洞察面板：一眼看清模型上下文窗口的组成与变化——构成对照窗口大小、按请求历史趋势、压缩/注入事件、消息级 token 统计。

Added: 2026-08-14

View detailsdsh plugin --profile web add dsh-context

Memory★ 3746

dsh-purge-kingchar

kingcharleslzy-ai

kingcharleslzy-ai/dsh-purge

让 AI 更专注地辅助学习与动手实验：DSH 附加组件，提供状态自检、提示词与规则管理、本机备份与回滚。

Added: 2026-10-30

View detailsdsh plugin --profile web add 'github:kingcharleslzy-ai/dsh-purge#27919a326b6615b1968661a3e749760cec3a2e07'

Memory★ 2812

memsearch

zilliztech

zilliztech/memsearch/plugins/dsh

MemSearch plugin for DeepSeek Harness: shared markdown memory across agents, with capture, on-demand recall, memory-recall skill, and a skill-candidate review panel.