Mémoire

Plugin DeepSeek Harness qui se connecte à un serveur PowerContext via HTTP pour le rappel, la mémoire, le transfert de contexte, l'expérience et les 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).

Relie la mémoire, les skills et la configuration de Claude Code à DeepSeek Harness — aucune migration, compatibilité totale

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.

Passerelle ShiGuang Memory Engine (SGME) : mémoire à long terme partagée multi-agents via HTTP — distillation L0/L1/L1.5/L2, injection par scénario, recherche unifiée et signaux d'attention proactifs (memory_search / wiki_search / signal_pull / signal_claim / signal_ack), installable comme `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.

Personnalisation par hôte pour DSH : instructions personnalisées, mémoire locale à long terme, et préréglages de ton de réponse.

Un coffre Obsidian partagé pour tous les agents : cœur Python sans dépendances (recherche/promotion/arbitrage/oubli), modèle de coffre, plugin dsh (memory_search/show/submit/status).

Rappel de mémoire par mots-clés basé sur BM25.

Mémoire locale bornée avec contrôle d'autorité CBDC : affirmations SQLite + FTS5, rappel ciblé avec des décisions explicables d'usage/vérification/ignorance et une piste d'audit complète, commandes /memory, ≤3 affirmations/1200 caractères injectés par appel, aucun appel modèle supplémentaire.

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.

Système de mémoire à long terme structurée pour DeepSeek Harness -- paires résumé/complet par unité avec injection automatique.