Plugins

给 DeepSeek Harness 补上时间轴记忆：定宽只追加的事实日志 + agent 自己维护的摘要金字塔，固定阅读预算下 recall 成本不随记忆量增长。

NPM-installable DeepSeek Harness plugin that bundles Engram persistent memory MCP and injects parent-agent memory protocol.

Native DeepSeek Harness (dsh) plugin: hybrid local and XMemo cloud memory for Cordis-based agents.

Evidence-backed, human-approved project memory for DeepSeek Harness

Global experience archive for DeepSeek Harness on Windows: probes local tools (with versions and PATH-first hits), convenient paths, network latency and disk speed; folds per-session stats from session/event; LLM-extracts durable facts; env_profile tool with remember; byte-stable summary injected every turn to speed up sessions and cut token use.

Automatic cross-session GoodMemory recall and writeback for DeepSeek Harness

DeepSeek Harness settings-pro plugin: IM bridge (Telegram/WeChat), DeepSeek usage, cross-restart memory, desktop pets, and a vision bridge

DSH plugin: automatic dual-peer Honcho v3 memory, contextual recall, search, reasoning, conclusions, and health diagnostics

Static pre-install security auditor for plugin bundles: lifecycle scripts, dynamic execution, credential-exfiltration combos, and patch-layer hazards, with zero dependencies and in-memory tar parsing.

One-command bundle of the three AgentFrame plugins: memory-director, compaction, and aura-scheduler together.

Plug-in vision for text-only models on DSH, with native interaction for image understanding and generation, GUI automation, through layered evidence memory and cache.

Stage-gate governance tools: model-callable gate_open / gate_check / gate_list / gate_close for in-memory, per-session acceptance checks with PASS/BLOCK conclusions.

Translation toolkit for DSH agents: sentence segmentation, term and glossary extraction, source-target QA (numbers, units, brackets), tone guides, and a durable workspace translation memory.

Long-term memory injected at session start: preferences/facts/summaries/knowledge in global and per-project scopes, budgeted recall via `agent/pre-step`, durable JSON store.

Brings your existing Claude / ChatGPT history into DSH: instant zero-token import of the memories.json inside a Claude export, local Claude Code transcripts with no export needed, and conversations distilled through the model you already configured in DSH. Every memory carries verbatim evidence checked against the source by code — a paraphrase is dropped and counted, and evidence found only in the assistant turns is always routed to review rather than stored.

Project memory for coding agents on DeepSeek Harness: similar past edits surface as precedents, out-of-scope edits are blocked, and cognition persists across sessions (47 upstream-verified fixes, gold-free 20-task run).

Hana-style assistant manager for DSH: visual preset management (cards, yuan personalities, avatar cropping) plus a full Hana memory stack (rolling summaries, layered compilation, SQLite fact store, deep memory).

Cross-session event-cue memory for DeepSeek Harness: auto-extracts task/conversation cues and user language habits from every turn into a persistent global cue bank, then re-injects remembered context on topic-switch detection (keyword or vector matching).

Sidebar system monitor for the DSH Web UI: live host overview (CPU/memory/network/disk), process list, and Docker container status, all read-only.

Self-maintaining handoff memory per working directory and git branch: records turns, folds them into concise Markdown, and injects the result into future sessions from ~/.agent/agent-handoff, byte-compatible with pi-handoff.

Local Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki

ProactiveAgent × DeepSeek Harness 插件组：主动记忆 + 主动建议接入 DSH（bundle 聚合包，dsh plugin add 一键安装）

Persistent long-term persona memory for DeepSeek Harness: MEMORY.md/USER.md storage, memory + memory_search tools, per-request context injection, and secret scanning. Ported in spirit from pi-hermes-memory.

A DeepSeek Harness plugin that turns the anywhere-claude-mem git sync into a DSH peer: pull cross-machine memory at session start and push new prompts/observations as they land in the claude-mem worker