I

IriskaDev/@dsh-external/dsh-global-memory

“Designed for DeepSeek Harness memory workflows.”

OverviewREADME

TL;DR

DSH Agent 跨会话全局记忆插件：会话开始注入条目级索引，模型按需 recall 记忆全文，显式保存/搜索/删除，数据仅存本机 $DSH_HOME/memory/

30 days of GitHub stars

+0 stars

+0% observed change

Oct 15+0 stars0 totalOct 16+0 stars (estimated)0 totalOct 17+0 stars (estimated)0 totalOct 18+0 stars (estimated)0 totalOct 19+0 stars (estimated)0 totalOct 20+0 stars0 totalOct 21+0 stars (estimated)0 totalOct 22+0 stars (estimated)0 totalOct 23+0 stars (estimated)0 totalOct 24+0 stars (estimated)0 totalOct 25+0 stars (estimated)0 totalOct 26+0 stars (estimated)0 totalOct 27+0 stars (estimated)0 totalOct 28+0 stars (estimated)0 totalOct 29+0 stars (estimated)0 totalOct 30+0 stars (estimated)0 totalOct 31+0 stars (estimated)0 totalNov 1+0 stars (estimated)0 totalNov 2+0 stars (estimated)0 totalNov 3+0 stars (estimated)0 totalNov 4+0 stars (estimated)0 totalNov 5+0 stars0 totalNov 6+0 stars0 totalNov 7+0 stars0 totalNov 8+0 stars0 totalNov 9+0 stars0 totalNov 10+0 stars0 totalNov 11+0 stars0 totalNov 12+0 stars0 total

Oct 14Oct 28Nov 12

Also in this category

4 items

V

Memory

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.

★ 60.3K

V

Memory

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.

★ 42K

M

Memory

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.

★ 12.4K

A

Memory

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.

★ 3.8K