dsh-openviking
OpenViking retrieval, resource management, auto-recall and session memory for DeepSeek Harness.
339 results
OpenViking retrieval, resource management, auto-recall and session memory for DeepSeek Harness.
Bridge Claude Code's memory, skills, and configuration into DeepSeek Harness — zero migration, full compatibility
Local-first persistent memory infrastructure for DeepSeek Harness: bounded hot-memory bootstrap, explainable cold recall (exact + Chinese BM25), lease-lock transactional writes, read-only governance, and trajectory review. DSH plugin host; Python stdlib + Markdown core. Zero database / vector service / external service dependencies.
Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
Persistent long-term persona memory for DeepSeek Harness: MEMORY.md/USER.md storage, memory + memory_search tools, per-request context injection, secret scanning, and a WebUI memory-management settings page. Ported in spirit from pi-hermes-memory. TypeScript sources, built with tsc + esbuild.
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Doubao Web by default (zero cost, no API key), Antigravity IDE quota (flash/pro), Gemini API, or Cockpit proxy — model-invokable vision tool, wrapper adapters, evidence memory, and a bilingual client panel.
Execution-discipline plugin suite for DeepSeek Harness: anti-stuck retry interception, forced reflection, todo discipline, memory dedup, and self-evolving skills. Zero dependencies, never touches DSH source.
DeepSeek Harness 的 TencentDB Agent Memory 移植:L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像,自动召回注入 + 记忆/对话搜索工具;复用现有 ~/.memory-tencentdb/memory-tdai 数据;附 Web UI 设置栏。
One memory layer for every AI tool and agent, packaged for DeepSeek Harness with startup context, prompt-time recall, Mem MCP tools, and DSH thread capture.
DeepSeek Harness 的 soul.md 风格人设 + 长期记忆插件:设置页输入人设卡名称和内容即可,文件由插件自动管理;可按工作区指定人设、聊天框可给会话单独切人设;AI 可自行演化人设与记忆(soul_read/soul_update/memory_*)。
DSH web plugin: per-host personalization — global custom instructions, local long-term memory (collect / retain / integrate / manage), and reply tone presets.
DSH host plugin — smart outbound HTTP(S) routing: named proxies (http/https/socks4/4a/5/5h), per-host/provider/plugin rules, direct-first fallback with health memory (global fetch + node http/https).
File-based memory plugin for DeepSeek Harness (DSH) — cross-session memory in transparent markdown files
agentmemory for DeepSeek Harness (dsh): full memory_* tools, capture hooks, and context injection over the local REST server
Evidence-driven learning memory and automation for Git-native AI agents
DSH diff tool: structured comparison of text/JSON/CSV/Markdown plus unified diff generation and in-memory patch validation. Zero-dependency, read-only.
A Yogācāra (唯识) self-model plugin for DeepSeek Harness — eight consciousnesses, the 51 mental factors, a perfumed seed store, and a measurable self-grasping meter, rendered back to the agent as first-person state.
One-way structured conversation, project, MCP, memory, and context migration between Codex and DeepSeek Harness. Codex 与 DSH 的单向结构化迁移插件。
Unified agent memory for DeepSeek Harness — one shared Obsidian vault for every agent (dsh, Codex, Claude, Hermes). Ships the dependency-free Python core (search/promote/adjudicate/forget), a vault template, and a dsh plugin with memory_search / memory_show / memory_submit / memory_status tools. · 统一 Agent 记忆系统:多 Agent 共享一个 Obsidian vault,附零依赖 Python core 与 dsh 插件。
DSWM — Simple Wiki Memory for DeepSeek Harness: a self-maintaining persistent memory system (index + reference/pending/archive + git backup + memory skills).
Popup-on-open + periodic reminder to save DSH session logs, with in-popup interval (10min-3h), backup folder & format (fish=raw .zstd / human=readable .txt) settings and one-click incremental copy. / 打开 Web 即弹窗 + 定时提醒保存 DSH 会话日志,弹窗内可设提醒间隔(10分钟-3小时)、备份文件夹与格式(鱼话版=原始压缩 / 人话版=可读聊天记录),一键增量复制。
Cross-session long-term memory for DeepSeek Harness (dsh): durable JSON-file memory store with memory_save / memory_recall / memory_forget / memory_list model tools, installable as a dsh bundle.
Long-term memory system for DeepSeek Harness: two-phase extraction/consolidation pipeline over session logs, with summary injection and memory tools
大 engram 小 KV:外置 engram 转接层(跨会话分层记忆:global/project/session,AI 自主决策归属 + 因果链接索引 + 渐进披露 + 主动唤醒),为 DSH 实现超长上下文记忆稀疏路由,与官方 compact 共存(官方腾 KV,engram 保细节)