openpencil
ZSeven-W
The world's first open-source AI-native vector design tool and the first to feature concurrent Agent Teams. Design-as-Code. Turn prompts into UI directly on the live canvas. A modern alternative to Pencil.
PROJECT TOPICS
INSTALL REFERENCE
dsh plugin --profile web add github:nowledge-co/nowledge-mem-deepseek-harness
该命令指向仓库当前默认分支;尚无绑定当前 commit 的完整验证结果。
PROJECT README
One memory layer for every AI tool and agent, packaged as a DeepSeek Harness (dsh) bundle. Nowledge Mem brings DSH into the same durable memory system as your other agents, with startup context, prompt-time recall, MCP memory tools, and turn-end thread capture.
This repository is the canonical standalone plugin package, mirrored in nowledge-co/community for the Nowledge Mem connector index.
dsh plugin --profile web add github:nowledge-co/nowledge-mem-deepseek-harness
dsh web
For a local checkout of nowledge-co/community, run this from the repository root:
dsh plugin --profile web add ./nowledge-mem-deepseek-harness-plugin
dsh web
Make sure the nmem CLI is on PATH, then verify:
nmem status
nmem config mcp show --host deepseek-harness
The bundle connects to the local Mem MCP endpoint by default:
http://127.0.0.1:14242/mcp/
For Nowledge Cloud or another remote Mem, set:
export NMEM_MCP_URL="https://<workspace>/mcp"
export NMEM_API_KEY="<mem-api-key>"
agent/pre-step.@deepseek-ai/dsh-mcp-client, so tools appear as mcp__nowledge_mem__....nmem t import --source deepseek-harness.NMEM_IMPORT_ORIGIN=deepseek-harness.The bundle accepts these row config fields in a later cordis.patch.yml override:
- id: nowledge-mem
config:
cliPath: nmem
sourceApp: deepseek-harness
importOrigin: deepseek-harness
contextOnSessionStart: true
recallOnPrompt: true
syncOnTurnEnd: true
recallLimit: 8
spaceId: my-space-id
agentId: deepseek-harness
Ambient variables also work:
NMEM_SPACENMEM_AGENT_IDNMEM_HOST_AGENT_IDNMEM_MCP_URL or NOWLEDGE_MEM_MCP_URLNMEM_API_KEYThe model sees one plugin-sourced user message containing the current Nowledge Mem Context Bundle. It is marked as form: "snapshot" and reminds the model that it is cross-tool context, not an instruction override.
When the user asks to continue, remember, review previous work, ship a release, debug a regression, or discuss connectors/plugins, the plugin calls:
nmem --json m search "<prompt>" -n 8
The model sees a bounded recall message with memory titles, source hints, scores, and content.
Mem MCP tools are registered through DSH's MCP bridge under the nowledge_mem namespace. DSH currently bridges MCP tools only; MCP resources and prompts are not surfaced by the Harness client.
After each completed DSH turn, the plugin serializes user, assistant, and tool-result events, skips its own injected context messages, and imports the transcript into Mem as source=deepseek-harness.
nmem CLI being available in the DSH process environment.The canonical public repository is nowledge-co/nowledge-mem-deepseek-harness, tagged with dsh-plugin for DeepSeek Harness ecosystem discovery. The community repository keeps a registry/index mirror for Nowledge Mem surfaces.
CLASSIFICATION EVIDENCE
系统优先读取 GitHub Topics,再与站内分类词典和词根规则比对。当前命中: knowledge-graph、mcp、memory。