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Yang-Yin734/dsh-long-term-memory
“A long-term memory box for DeepSeek Harness settings.”
A long-term memory box for DeepSeek Harness settings: type it once and every new session carries it. 0.3.0 can also expand a rough note into a five-section requirement sheet that keeps every requirement of yours verbatim, marks anything the model had to invent as and deletable, and lists the dimensions you left open instead of deciding them for you.
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.