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ReMe

DeepSeek Harness Memory New Low risk

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.

将 DeepSeek Harness 接入 ReMe 本地优先、自进化的个人知识库:自动把已完成的主 Agent 对话沉淀为用户掌控的 Markdown 记忆,通过 reme_search 结合 BM25、可选向量检索和 wikilink 展开搜索对话与资料,并按日整理长期记忆。

How to install

DeepSeek Harness dsh plugin add github:agentscope-ai/ReMe/tree/main/integrations/dsh

Recommendation signals

70 Tool quality · Based on stars, downloads, maintenance, security and docs
User interest · Adjusted by in-site views, install copies and download clicks
70 Overall
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Meta

License
Apache-2.0
Language
Python
GitHub stars
3.5K
mo. downloads
Last push
2026-09-14
Created
2024-08-29

Links

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com
Topics
agent, ai-agents, dsh-plugin, memory, memoryscope, openclaw, openclaw-plugin, qwenpaw, rag, reme

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