プラグイン

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

The Engramory curated-memory discipline as an installable plugin ([npm: dsh-engramory](https://www.npmjs.com/package/dsh-engramory)): a deterministic 200-line / 25 KB cap on the `MEMORY.md` index via `ctx.tools.guard()` — growth denied, a shrinking rewrite always passes — plus the protocol registered as a runtime skill. The store is plain markdown, one file per fact, shared with Claude Code, Codex, Kiro, and OpenClaw.

Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.

Mnemon との深い統合: ローカルの 3 階層メモリ（Runtime Memory、検索可能な Documents、監督下の Memory Spaces）。

セッションをまたぐメモリ: 人間が編集可能な Markdown ミラー付き SQLite、バックグラウンド統合（重複排除、マージ、コンフリクト解消）、6 種のメモリツール。

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.

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).

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.

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。

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。

Native StrataGate layered long-term memory for DeepSeek Harness

Long-term memory injected at session start: preferences/facts/summaries/knowledge in global and per-project scopes, budgeted recall via `agent/pre-step`, durable JSON store.

Layered memory pipeline for DSH: auto-distills conversations into atomic facts, scene summaries and a persona profile (L0–L3), with hybrid BM25 + vector retrieval, chat/work family separation, and context injection before each model step.

Automatic, local-first cross-session memory for DeepSeek Harness: layered Event/Element cards, evidence-gated recall, and expansion back to original turns and tool results.

DeepSeek Harness 向けの永続的な長期ペルソナメモリ機能。MEMORY.md/USER.md への保存、memory・memory_search ツール、リクエストごとのコンテキスト注入、機密情報スキャンに対応します。pi-hermes-memory の思想を受け継いだ移植版です。