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kentzjh-cmd/tmem
“Invisible backward-slicing execution trace memory compiler for DSH, compressing sessions into guarded L0/L1/L2…”
Invisible backward-slicing execution trace memory compiler for DSH, compressing sessions into guarded L0/L1/L2 playbooks. It needs Python 3 on PATH (or TMEM_PYTHON) and runs python3 -m tmem.cli synchronously, with a 5-second timeout, on every agent step and every tool result; the sliced traces are stored in .tmem/ inside each project and in ~/.tmem/ shared across projects, and matching memories are injected into the model request as notice messages. It makes no network requests.
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.