메모리

Model-authored context pruning for DeepSeek Harness through the official compaction API.

작업 디렉터리 및 git 브랜치별로 자체 유지되는 핸드오프 메모리: 턴을 기록해 간결한 Markdown으로 정리하고, ~/.agent/agent-handoff에서 결과를 이후 세션에 주입, pi-handoff와 바이트 호환

DeepSeek Harness의 장기 메모리로 쓰이는 로컬 Markdown 위키 — llmwiki에서 이식

DeepSeek Harness용 영구 장기 페르소나 메모리: MEMORY.md/USER.md 저장, memory + memory_search 도구, 요청별 컨텍스트 주입, 비밀 정보 스캔. pi-hermes-memory의 설계 철학을 이식

anywhere-claude-mem의 git 동기화를 DSH 피어로 전환하는 DeepSeek Harness 플러그인: 세션 시작 시 여러 기기 간 메모리를 가져오고, 새 프롬프트/관찰 내용이 claude-mem worker에 도착하는 즉시 내보냄

벡터 + 그래프 메모리 백엔드: 로컬 memoria 서버를 대상으로 하는 observe/remember/search/recall 도구, HNSW 시맨틱 회상·FTS5 키워드 검색·지식 그래프 신호를 RRF 랭킹으로 융합, 턴 종료 시 자동 저장과 에이전트별 네임스페이스 격리 지원

Codex kb.cmd CLI와 공유되는 전역 Markdown 지식베이스로의 브리지: 바이트 호환 frontmatter를 갖춘 kb_add/kb_search/kb_show/kb_timeline 도구

세션 간 메모리 보관소: remember / recall / forget 도구, 턴별 프롬프트 주입, 설정 페이지 항목 브라우저 제공

A super-simplified LLM-wiki memory plugin: one index document (auto-loaded) + one markdown file per topic (read only when needed) — no dumping everything into the context and burning tokens. Simple and lightweight, painless to install/uninstall, and freely editable however you like.

DSH自记忆插件：结构化记录问题、方案与模型调用，支持加权检索、前提感知排序与外部导入。

DeepSeek Harness 分层长期记忆插件：瞬时/情景/语义三层记忆，自动捕获、AI 提炼、跨会话召回与可视化管理。

DeepSeek Harness (DSH) plugin for local-first automatic Wiki memory and native Skill generation.

Markdown folder long-term memory for DeepSeek Harness: one file per fact, an index line per memory, mounted into every request as a system prompt section

DeepSeek Harness (DSH) plugin — inject context when user input or model output hits configured keywords, with toggleable/configurable rules and model-editable memory.

Industrial-grade 4-tier cognitive memory, red-light guard, and vector semantic engine for DeepSeek Harness (dsh).

Import chat history and memory from other AI agents (Claude Code, Codex CLI, Gemini CLI, Aider, Cline, OpenCode, Hermes Agent, OpenClaw) into DeepSeek Harness

DeepSeek Harness community Bundle for local, evidence-backed Agent Memory

File-based self-evolving memory for DeepSeek Harness v2: compression & extraction over official compaction, daily episodic layer, dream consolidation to semantic files (user/agent/memory/dream + project), catalog disclosure injection, no confidence machin

Notion connector for DeepSeek Harness: search, read, query, create, update, and append Notion pages and databases via six agent tools, with a Web settings page — configured once with an Integration Token.

Write notes and memos to flomo (浮墨笔记) from any agent via the flomo_send tool, configured once with the flomo API URL or API Key.

Auto-supplement QMD semantic search when the model greps/globs a knowledge-base directory: zero-dependency DSH plugin, async injection via next-step, no manual invocation.

DSH ↔ agentmemory session-memory bridge: mirrors session lifecycle into a local agentmemory daemon (REST), exposes memory_recall / memory_remember tools, and injects a per-session memory context window via agent/pre-step.

Tracks the agent's state as Yogācāra mental factors over a durable seed store, and feeds it back into the prompt as first-person inclination.

Bi-temporal memory backed by a SodaMem daemon: recall is contributed to the prompt while each turn is assembled and every closed turn is ingested, with no tool call and no model call on the read path; each recalled fact cites the turn it came from and carries validity dates, so superseded facts stop being retrieved.