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DeepSeek Harness plugin: Nocturne Memory client — automated long-term memory (boot/read/search/create/update) backed by your own Nocturne MCP server.

Focus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions — with automatic context injection, an archive on clear, and an optional re

Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.

Native memory for DeepSeek Harness — auditable facts with evidence chains, powered by StateCore

DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.

Self-evolving memory for DeepSeek Harness (DSH): earned experiences, diary/fact semantic memory, concern tracking, and an append-only audit ledger.

Minimalist long-term memory for DeepSeek Harness, distilling symbolic-index + pi-esr ideas: zero-LLM auto-capture, a symbolic [ENGRAM] index with progressive disclosure, and an ESR-lite evidence-closure protocol (esr_task / esr_node / esr_close / esr_link

DSH 全局经验插件（骨架）：自动探测本地依赖/便捷路径/网络/磁盘并沉淀为跨会话环境档案，订阅 session/event 折叠每会话统计，把低开销摘要注入每轮系统提示，env_profile 工具按需查全量——减少重复探测、加快会话、降低 token 消耗。

File-based self-evolving memory for DeepSeek Harness v2: compression & extraction over official compaction, daily episodic layer, dream consolidation to semantic files (user/agent/memory/dream + project), catalog disclosure injection, no confidence machin

DeepSeek Harness community Bundle for local, evidence-backed Agent Memory

ProactiveAgent × DeepSeek Harness 插件组（P2-14 收拢：3 服务端 + 1 客户端，bundle 一键安装）

Markdown folder long-term memory for DeepSeek Harness: one file per fact, an index line per memory, mounted into every request as a system prompt section

DeepSeek Harness 记忆分诊插件：自动判断记忆保留/归档，并自动路由到项目桶或总体桶（规则优先 + LLM 兜底）

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

Native, per-workspace long-term memory for DeepSeek Harness: facts and profiles on DSH's own storage-domain, cross-session recall through session-query FTS, approval-gated writes, and cited provenance — no external server, no extra runtime dependency.

A typed, inference-capable ontology (TBox + ABox) plugin for DeepSeek Harness — durable domain knowledge the agent can define, assert against, and query under schema constraints.

Import chat history and memory from other AI agents (Claude Code, Codex CLI, Gemini CLI, Aider, Cline, OpenCode, Hermes Agent, OpenClaw) into DeepSeek Harness

DSH 记忆知识库插件：通过 ETAPI 把 Trilium 笔记库接入 agent（记忆读写/笔记管理/搜索/周报/附件/日历/备份），GUI 提供独立设置页。 · DSH memory-knowledge plugin: connect Trilium to the agent via ETAPI.

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

Memory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.

Local AI memory for DeepSeek Harness: remember, search, and context tools over a built-in SQLite store

Durable cross-session memory for DeepSeek Harness: local SQLite FTS5 store, three model-facing tools, and a recall prompt section — no embedding service and no sidecar

Long-term memory and self-learning plugin for DeepSeek Harness (DSH) - observe, learn, and remember across sessions. Also supports OpenCode.

Memoria long-term memory for DeepSeek Harness: one owned Python subprocess + native store/recall tools + auto recall injection

OpenCode plugin — define custom AI agent roles via YAML with per-role prompts, models, skills, and permissions

OpenViking memory and context bundle for DeepSeek Harness

OpenViking memory and context bundle for DeepSeek Harness：自动召回、会话捕获、viking:// 保护与记忆工具，可在 DSH 设置中配置。

Perseus Vault memory plugin for DeepSeek Harness: automatic pre-step recall injection from a governed memory vault

Remembers which DeepSeek Harness tools have been failing, across sessions, and tells the next session — so an agent stops rediscovering a dead endpoint one failed call at a time.

Cross-session long-term memory for DeepSeek Harness (dsh): durable JSON-file memory store with memory_save / memory_recall / memory_forget / memory_list model tools, installable as a dsh bundle.

Cross-session full-text recall for DeepSeek Harness: the model-facing `recall` tool searches past session transcripts through ctx.sessionQuery

Agent-curated long-horizon memory (ctx.memory) for DeepSeek Harness: durable project-scoped memory banks with a provider registry and a shipped local backend — a standalone plugin with no upstream harness changes required.

Hypatia AI memory for DSH: bundled hypatia/hypatia-memory skills plus automatic one-shot approval for pure hypatia CLI sandbox escalations — implicit memory, no repeated authorization prompts, every other operation still asks.

DeepSeek Harness plugin for bounded, provenance-linked context steady state with recoverable raw history

DSH 全局记忆插件：侧边栏「全局记忆」页，直接查看/编辑 ~/.dsh/AGENTS.md 与 ~/.dsh/memory/*.md。Host 半边注册 /api/dsh-memory 路由（回环限制），client 半边注入侧边栏入口与中心面板。热插拔挂载，不改 DSH 源码。

脑珊瑚 Coral Memory — 面向 LLM Agent 的热度感知记忆层（DeepSeek Harness 插件）：MCP 记忆工具（memory_search/insert/thread_* 等 16 个）+ 设置面板（统计/容量/检索/配额）。作者：Mr. Code Muggle (@Ne)。

AI-memory 深度集成 —— 基于 One Memory 源码的 DSH 语义记忆插件

DSH memory plugin: global hot memory + on-demand experience library with FTS5 retrieval and WebUI cards

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

MemSearch plugin for DeepSeek Harness: shared markdown memory across agents, with capture, pre-step context injection, memory-recall skill, and a skill-candidate review panel.

Mnemosyne memory for DeepSeek Harness: remember / recall / forget / stats / sleep tools, embedded skill, auto-setup, optional auto-sync/prefetch, a Settings panel, and a read-only memory dashboard. Data lives under ~/.dsh/mnemosyne.

Project skill discovery: enumerate .dsh/skills entries with a SKILL.md present. 项目技能枚举（.dsh/skills 只读清单）

Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.