dsh-memory-layer: A Local Memory Layer for DeepSeek Harness
`dsh-memory-layer` is a local memory plugin for DeepSeek Harness, designed to solve cross-session memory retention. It is based on single-file SQLite storage, requires no cloud dependency or vector retrieval, and runs fully locally with zero service dependencies. It performs deterministic recall using trigger signals such as file names and tool names, supports memory management through the `/memory` command, and includes cleanup mechanisms such as automatic deprioritization, tombstone deletion, and workflow chain promotion. It is suitable for developers who prioritize high privacy, low latency, and explainability.
Read Moredsh-mnemosyne: A Local Memory Plugin for DeepSeek Harness
`dsh-mnemosyne` is the local memory plugin for DeepSeek Harness, designed to address cross-session context consistency issues for agents. It encapsulates Mnemosyne’s memory logic as native DSH tools, with data stored in a local SQLite database. The plugin provides six tools—including memory storage, retrieval, and forgetting—as well as dashboard-based management, supporting automatic merging, filtering, and session isolation. Users can install and configure it via the CLI and leverage automatic injection and prefetching mechanisms to enable long-term memory without relying on cloud services.
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