dsh-layered-memory
让 DeepSeek Harness 拥有跨会话长期记忆：AI 自动记住你是谁、你的项目和偏好，新会话直接带上背景，生活与工作记忆自动分开互不干扰，零配置无感运行 | Long-term memory for DeepSeek Harness: the AI remembers who you are, your projects and preferences across sessions, keeps personal and work memories separate, zero-config.
本包声明了 dsh.bundle 组合包层（cordis.patch.yml），安装后会自动挂载插件行—— 不需要再手改 $DSH_HOME/profiles/web/cordis.patch.yml。然后重启 DeepSeek Harness， 验证：~/.dsh/memory/ 下出现 conversations/ records/ scenes/ 目录和 memory.db 即插件 apply 成功；设置页出现"记忆"页面、输入栏出现档位 pill 即 client 半边就绪。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/junnanlys-dsh-layered-memory — read its card at https://meshkore.com/agent/junnanlys-dsh-layered-memory/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/junnanlys-dsh-layered-memoryFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/junnanlys-dsh-layered-memory/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own dsh-layered-memory?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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