72 results
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.
Codex-like persistent memory for DeepSeek Harness: auto-injected memory summary, raw memory tools, and per-session rollout summaries distilled into a bounded global memory file.
记忆搬家：把 Claude / ChatGPT / Claude Code 的历史记忆搬进 DeepSeek Harness —— 带逐字证据，逐条批准 | Move your Claude & ChatGPT memory into DeepSeek Harness (DSH), with verbatim evidence and one-by-one approval
人脑式上下文压缩逻辑 — DeepSeek Harness 上下文压缩统一协同层: 集成 dsh-argp / dsh-compaction-instant / dsh-headroom / dsh-sgme / dsh-memory-vault / dsh-mcp-lens / dsh-context-doctor，提供统一配置、工具协调与验证机制。适配 DSH 0.1.5。
Explicitly governed shared memory spaces for DeepSeek Harness sessions
Codex-style per-session memory for DeepSeek Harness: qualified sessions auto-distill into per-session drafts (rollout_summaries); manual add/change/forget runs only on explicit user request; layered disclosure (summary + registry); idempotent integration watermark. / 一会话一草稿记忆插件：合格会话自动提炼草稿；手动增/改/忘仅在显式请求时执行；分层披露（总纲+注册表）；幂等整合水印。
DSH plugin: meme/reaction picker for DeepSeek Harness agents. No memes, no soul. Picks the right reaction image from the kagura-agent/memes library at runtime — semantic tag matching over 26 categories.
Persistent cross-session memory plugin for DeepSeek Harness: workspace-scoped durable facts with model-facing memory_write/list/search/forget tools and bounded prompt injection
Evidence-first long-term project memory for DeepSeek Harness
Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming.
为 AI Agent 提供短期记忆缓存、长期知识沉淀、语义检索与持久化存储的统一记忆管理层
Long-term memory for stock DeepSeek Harness: key/value store with question-time recall, plus optional migration from official ChatGPT, Claude, Gemini, and DeepSeek exports.
Hermes-style bounded curated memory for DeepSeek Harness (out-of-tree plugin)
Four-layer long-term memory for DeepSeek Harness (L0 conversation → L1 atoms → L2 scenes → L3 persona) with auto-recall and auto-capture — adapted from TencentCloud/TencentDB-Agent-Memory
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
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）
为 DeepSeek Harness Web 提供可自定义 GIF 表情互动的 DSH 插件，支持发送消息和 Deep diving 状态动画。
Memory Fortress for DeepSeek Harness: 5-track layered memory, self-evolution, knowledge graph (SQLite+FTS5), status pill. 本地记忆堡垒：五轨记忆·自我进化·知识图谱·状态灯。
Gated GA-style layered memory for DeepSeek Harness: hard-injected L1, working checkpoint, settlement to Skills/L1/L2 — no silent auto-retain.
Pluggable persistent memory bundle for DeepSeek Harness
dsh-memory — cited memory over DSH's lossless session log: post-session distillation into human-auditable markdown files, a compact recall index, memory_read/memory_expand tools, and a dsh-memory CLI
Notes and todos as plain Markdown in one Vault folder of your choice: /ml jots into today's journal, todos come in deadline/sleep-until/anytime flavors with auto-wakeup, /ml note distills chats into a knowledge base, /ml ask answers questions from it, /ml mail reads your work inbox incrementally into a throwaway temp dir and extracts todos/reads, /ml view fuzzy-opens any file — notes stay plain files.
MEMFLOW memory framework for DeepSeek Harness — distributed memory architecture: every project carries its own memory/, one plugin for Hermes-like memory across all your workflows
Solve the AI goldfish brain: a personal memory layer for DeepSeek Harness — preferences, project conventions, workflows, and error lessons, stored locally as auditable, evidence-backed Markdown/JSON. 解决 AI 金鱼脑：偏好、项目约定、工作方式与纠错教训的本地可审计记忆层。