Gedächtnis

DeepSeek-Harness-Plugin, das sich über HTTP mit einem PowerContext-Server verbindet — für Recall, Gedächtnis, Handoff, Erfahrung und Skills.

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).

Bindet Gedächtnis, Skills und Konfiguration von Claude Code an DeepSeek Harness an — ohne Migration, voll kompatibel.

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.

Bridge zur ShiGuang Memory Engine (SGME): agentenübergreifendes gemeinsames Langzeitgedächtnis über HTTP — L0/L1/L1.5/L2-Destillation, szenariobasierte Injektion, einheitliche Suche und proaktive Care-Signale (memory_search / wiki_search / signal_pull / signal_claim / signal_ack), installierbar als `dsh-sgme`.

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.

Personalisierung je Host für DSH: individuelle Anweisungen, lokales Langzeitgedächtnis und Presets für den Antwortton.

Ein gemeinsamer Obsidian-Vault für jeden Agenten: abhängigkeitsfreier Python-Kern (search/promote/adjudicate/forget), Vault-Vorlage, dsh-Plugin (memory_search/show/submit/status).

Gedächtnisabruf auf Basis von BM25-Schlüsselwörtern.

Begrenztes lokales Gedächtnis mit CBDC-Autoritätskontrolle: SQLite + FTS5-Claims, bereichsbezogener Abruf mit erklärbaren Use/Verify/Ignore-Entscheidungen und vollständigem Audit-Trail, /memory-Befehle, ≤3 Claims/1200 Zeichen Injektion pro Aufruf, kein zusätzlicher Modellaufruf.

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.

Strukturiertes Langzeitgedächtnissystem für DeepSeek Harness — einheitenbasierte Kurz-/Volltext-Paare mit automatischer Injektion