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jipika/@jipika/dsh-memory
“Progressive long-term memory for DSH.”
Progressive long-term memory for DSH: sharded markdown bodies under ~/.dsh/memory/topics/, with only a live-generated index (shard · count · path · per-entry line numbers) injected into the system prompt — so the prompt cost stays flat however large the memory grows. Two layers (global + per-project) plus the global rule files, viewable AND editable in DSH Settings, with per-layer switches and an index/full injection toggle. v0.5.0 adds enforcement hooks: a write guard on the native tool pipeline (format/secrets/history rules, optional external command judge, deny/ask with reasons fed back to the model), post-write audit log, a read reminder when memory files are read, a mandatory discipline block, and an optional injection filter command. Zero extra LLM cost, live re-read.
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.