Memory

Cross-session long-term memory: a hybrid-retrieval memory store (BM25 plus CJK bigrams), chunked long-document search, chat-log extraction and distillation, and context-summary archiving and browsing, with important memories and the latest summaries auto-injected into the prompt.

Maintained fork of dsh-memory-eternal: auto-captures knowledge cards into a local Markdown vault and recalls them on demand, with DSH 0.2.0-rc.x compatibility fixes. Original project by EternalNight996 (https://github.com/EternalNight996/dsh-memory-eternal), MIT.

Cross-session memory for DeepSeek Harness: list earlier sessions and load one on demand, so a new session can see what was already done without polluting the current context.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

SQLite-backed long-term memory for DeepSeek Harness: add, search, update and archive entries with categories and tags, automatic conversation logging, tiered compression, and a project dimension that scopes retrieval to the current workspace plus global facts.

Persists scoped user corrections and method candidates for DSH with bounded recall and restart-safe completion settlement.

Cross-session and cross-project long-term memory: a non-blocking silent sedimentation dispatch on turn/end writes into a local SQLite store (FTS5 trigram full-text index with insert/update/delete sync triggers) that later turns recall from; entries are scoped per project alongside a global tree, and the plugin ships its own embedded web dashboard (it starts the HTTP server itself, no separate process) for browsing, graphing and controlled deletion.

Fork of @michengai/dsh-pua that removes the upstream global kill-switch so the composer entry is always visible while the feature stays off by default and can be toggled per session; the entry is a dropdown (Turn on / Turn off / Options) with a more compact options panel.

Keeps a CURRENT_PROGRESS.md file in each session's working directory: asks at session start whether to create it, reads it instead of asking when it already exists, and appends one entry after every turn.

Per-turn development progress memory: completed turns are classified into date-indexed Markdown files under doc/progress/ with a maintained INDEX.md, system-level bugs are kept in a cross-project SYSTEM_MEMORY.md and re-injected on error keywords, and a progress_read tool loads full documents on demand.

Bounded self-managed long-term memory (Hermes-style MEMORY.md / USER.md with hard character limits and a safety scan), a review that runs after every turn and writes plain-language notes or refines an existing skill instead of adding a near-duplicate, a curator that finds and surgically repairs skills the loader would silently discard, cross-session search over past messages, and a learning card above the composer that appears only when there is news and asks before it deletes or rewords a memory.

Connects dsh to the GreatArrow.ai MCP server over Streamable HTTP, so the agent can search and save workspace memories, tasks and decisions shared with your other AI clients; a config-only bundle that reads the token from great-arrow.token in the dsh home, never from the environment.

Notes taken from DeepSeek Harness conversations: quotes whole replies or selected passages, keeps highlights rendered at their original position in the session, attaches editable Markdown notes, tags them, filters by workspace or session, and exports Markdown or a full JSON backup stored as local JSON files.

个人解决经验记忆：保存问题、做法、来源和适用条件，下次相似任务可检索复用，并支持纠正与删除。搭配 dsh-bubble 提问、dsh-look 提供现场上下文。

Local-folder knowledge base for DSH: builds a SQLite FTS5 index over Office, text, PDF and scanned files, ships five tools (kb_search / kb_read / kb_list / kb_status / kb_session) plus a Web panel, and retrieves or syncs only when the user explicitly asks.

Cross-session lesson book (the agent wrong-answer notebook) for DeepSeek Harness: injects a memory index capped at 2 KB verbatim into every turn, adds mem_recall and mem_save model tools whose write gate demands four sections, a locatable reference and explicit human approval before anything reaches disk, registers the /memory command, and keeps every lesson as a zero-dependency Markdown entry in the .memory/ directory.

Persistent memory for dsh in the style of Hermes Agent: a memory tool that keeps a user profile and the model's own notes, delivered to every chat as a logged context message — at the start, after a change and after compaction — and a session_search tool that reads earlier chats only after the user approves, with a Memory panel to see and edit what is kept.

Track conclusions and revisit them when evidence files change.

Anima-style vector memory for DSH: injects retrieved historical summaries into the system prompt each turn, exposes an anima_query semantic-search tool, and isolates the vector store per playthrough. SiliconFlow embeddings sent as array-shaped requests; timeouts and provider errors surface as honest, classified notes in the injection slot — never silent.

DeepSeek Harness plugin: bounded-file memory for local agents. ME.md + project MEMORY.md vault, cache-stable inject, plain-line inbox, Memory rightbar. No embeddings, no LLM calls.

Model-facing codebase-memory CLI tools (codebase_list_projects/index_repository/index_status/search_graph/query_graph/trace_path/get_code_snippet/get_graph_schema/get_architecture/search_code/detect_changes/manage_adr/ingest_traces/delete_project) that ru

Project-isolated long-term memory for DeepSeek Harness that keeps one bank per project and adds a cross-project view; it can also seed a project's memory from its git history without opening a session there.

记忆核心（工作区版 memory-eternal-ws）：按 DSH 工作区自动切库的本地 Markdown 记忆库插件。每个项目用自己的 .dsh/memory-vault，跨项目知识走全局库。fork 自 dsh-memory-eternal v0.7.0，保留自动沉淀 / 自动召回 / 知识卡 / 知识图谱 / 审核中心 / 回收站 / 配置页全部功能。