One memory layer for every AI tool and agent, packaged for DeepSeek Harness
Pending human review — the facts below come from the source repository.
One memory layer for every AI tool and agent, packaged for DeepSeek Harness
Users who want this capability in DSH; check the source and docs before installing.
dsh plugin --profile web add github:nowledge-co/nowledge-mem-deepseek-harness No supported platforms were declared.
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. ## Install sh 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: sh dsh plugin --profile web add ./nowledge-mem-deepseek-harness-plugin dsh web Make sure the nmem CLI is on PATH, then verify: sh nmem status nmem config mcp show --host deepseek-harness The bundle connects to the local Mem MCP endpoint by default: text http://127.0.0.1:14242/mcp/ For Nowledge Cloud or another remote Mem, set: sh export NMEM_MCP_URL="https://<workspace>/mcp" export NMEM_API_KEY="<mem-api-key>" ## What It Does - Injects the Nowledge Mem Context Bundle once per DSH session through agent/pre-step. - Runs prompt-time memory recall for continuation, release, regression, connector, plugin, and other recall-shaped prompts. - Adds the Mem MCP server through DSH's reconnecting @deepseek-ai/dsh-mcp-client, so tools appear as mcp__nowledge_mem__.... - Imports the real DSH surface transcript after completed turns with nmem t import --source deepseek-harness. - Stamps CLI imports with NMEM_IMPORT_ORIGIN=deepseek-harness. ## Configuration The bundle accepts these row config fields in a later cordis.patch.yml override: yaml - 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_SPACE - NMEM_AGENT_ID - NMEM_HOST_AGENT_ID - NMEM_MCP_URL or NOWLEDGE_MEM_MCP_URL - NMEM_API_KEY ## Model Experience ### Startup Context The 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. ### Prompt-Time Recall When the user asks to continue, remember, review previous work, ship a release, debug a regression, or discuss connectors/plugins, the plugin calls: sh nmem --json m search "<prompt>" -n 8 The model sees a bounded recall message with memory titles, source hints, scores, and content. ### MCP Tools 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. ### Thread Capture 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. ## Known Limitations - DeepSeek Harness is in developer preview, so public package APIs may change. - Historical DSH sessions are not backfilled by this package yet; it captures new sessions while the plugin is active. - The DSH MCP bridge exposes tools only, so Nowledge Mem resources/prompts are not shown through MCP today. - Turn capture depends on the local nmem CLI being available in the DSH process environment. ## Community Position 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.Not by stars — picked by hand, one at a time.
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