メモリ

HTTP 経由で PowerContext Server に接続し、想起・メモリ・引き継ぎ・経験・Skill を扱う DeepSeek Harness プラグイン。

Semantic retrieval, resource management, auto-recall (user + agent dual spaces) and session memory for DeepSeek Harness: memsearch/memfind/memread/membrowse/memgrep/memglob over viking:// URIs, memadd/memremove resource management, memqueue observer status, memcommit session capture, and memlearn skill playbook minting.

Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.

General-purpose knowledge base for DSH: import md/txt/json/yml/docx/pdf, folder management, FTS5 full-text search (BM25), and a Web management UI.

Long-term memory & self-evolving plugin for DSH: L0 capture → L1 memory extraction → L2 scene grouping → L3 user persona, auto recall injection, skill synthesis, fully local (SQLite FTS5 + jieba, optional vector recall).

Claude Code のメモリ、Skill、設定を DeepSeek Harness に橋渡し——移行作業ゼロで完全互換。

Connect dsh to a local Obsidian vault: search, read, write, move, and trash notes through `obsidian_*` tools.

File-based cross-session memory: plain Markdown memory files with automatic retrieval injection, format-compatible with Claude Code's CLAUDE.md and memory files, so migrating is a manual file copy.

Knowledge-base-driven agent preset: wiki long-term memory, a web KB UI, a management page and optional UI polish.

ShiGuang Memory Engine(SGME)ブリッジ。HTTP 経由でマルチエージェント間の共有長期メモリを実現します——L0/L1/L1.5/L2 の抽出、シナリオベースの注入、統一検索、プロアクティブなケアシグナル(memory_search / wiki_search / signal_pull / signal_claim / signal_ack)に対応。`dsh-sgme` としてインストール可能です。

agentmemory for DeepSeek Harness (dsh): full memory_* tools, capture hooks, and context injection over the local REST server

Honcho memory bridge: auto-syncs every conversation turn to a self-hosted Honcho service, with recall/search/remember/context/status tools, context injection on session start, and a visual settings panel.

Scans the skills visible to the current session and ranks them by relevance to the recent conversation.

Offline QR code (SVG/PNG/ASCII) and barcode (Code128/EAN-13) generator for DeepSeek Harness, no network and no shell.

Evidence-bound negative-knowledge ledger: persists disproven paths (command_failed, file_missing) with their outcome and precondition evidence, then warns or blocks repeat attempts until the evidence changes.

DSH 向けホストごとのパーソナライズ: カスタム指示、ローカル長期記憶、返信トーンのプリセット。

全エージェントで共有する1つの Obsidian vault。依存関係のない Python コア(search/promote/adjudicate/forget)、vault テンプレート、dsh プラグイン(memory_search/show/submit/status)を提供します。

BM25 キーワードベースのメモリ想起機能。

CBDC 権限ゲーティング付きの、範囲を限定したローカルメモリ。SQLite + FTS5 によるクレーム管理、説明可能な use/verify/ignore 判定によるスコープ付き想起と完全な監査ログ、/memory コマンド、1回あたり最大3クレーム/1200文字の注入に対応し、追加のモデル呼び出しは不要です。

Memory Lake as a persistent memory layer for dsh: memory_search, memory_remember, and memory_forget tools over the memorylake CLI, a session status line, and guided setup/diagnostic skills, sharing one ~/.memorylake identity and memory set with the Claude Code and Codex plugins.

Human-readable Markdown memory for DeepSeek Harness: user-level (~/.deepseek-harness/MEMORY.md) + workspace-level memory injected every turn, auto daily-log writing with distillation, bridges existing WorkBuddy/CodeBuddy memory dirs, memory_note / memory_note_user / memory_read tools with built-in dedup, and a bilingual settings page. Plain-text storage, no database.

Biomimetic memory system for DeepSeek Harness: plain-Markdown data layer, memory tools, frozen-snapshot injection, graded approval gating, structured audits, memory metabolism (dream), memory pins, semantic recall, /memory command, and cross-session retrieval.

Faithful port of the hermes-agent MEMORY.md / USER.md mechanism for DSH: bounded dual-bank memory (2200/1375 chars), a single `memory` tool (add/replace/remove/batch), frozen-snapshot injection per session, nudge reminders, DSH-native JSON storage — zero external dependencies, zero LLM cost.

DeepSeek Harness 向けの構造化された長期メモリシステム。ユニット単位の要約/詳細のペアを自動注入します。