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miseryrua/dsh-wb-memory
“把 WorkBuddy 的文件化记忆机制带入 DeepSeek Harness：分层注入（全局画像 + 工作区置顶 PINNED + 摘要/相关条目 + 今日日志 + 近 N 日回顾）；记忆源为各 dsh 工作区 .”
把 WorkBuddy 的文件化记忆机制带入 DeepSeek Harness：分层注入（全局画像 + 工作区置顶 PINNED + 摘要/相关条目 + 今日日志 + 近 N 日回顾）；记忆源为各 dsh 工作区 .workbuddy/memory/，纯 Markdown 无向量库；含 auto-digest 流水记录、会话收尾小结、auto-distill 日志提炼、memory_search 原生工具（长期记忆+近期日志双源检索）、超阈值 LLM 整理（同轮反馈重试）与 TTL/回收站治理，并在设置面板提供管理界面。
vectorize-io/hindsight
Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.
volcengine/OpenViking
OpenViking memory and context bundle for DeepSeek Harness: pre-step auto-recall and profile injection, session capture, `viking://` URI guarding, and recall/write memory tools backed by an OpenViking server.
MemTensor/MemOS
Local-first memory plugin for DeepSeek Harness: layered L1/L2/L3 memory with automatic capture, manual memos_* retrieval tools, and a built-in memory viewer.
agentscope-ai/ReMe
Connects DeepSeek Harness to ReMe's local-first, self-evolving personal knowledge base: automatically captures completed main-agent conversations as user-owned Markdown memory, searches conversations and source material through reme_search with BM25, optional embeddings, and wikilink expansion, and schedules daily memory consolidation.