dsh-memgas
Long-term memory for DeepSeek Harness: multi-channel retrieval and an evolving memory store.
384 results
Long-term memory for DeepSeek Harness: multi-channel retrieval and an evolving memory store.
Continual self-evolution plugin for DeepSeek Harness: versioned, auditable, rollback-safe harness state (prompt notes, memories, skills, subagent specs) refined from session trajectories.
L0~L3 分层蒸馏记忆插件 for DeepSeek Harness:自动捕获对话(L0)、抽取原子记忆(L1)、整合场景块(L2)、蒸馏核心画像/团队方法论(L3),并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
Obsidian Memory plugin for DeepSeek Harness — persistent memory via local Markdown vault
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.
Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.
SGME 仓库级 DSH 插件包装(真实插件包在 adapters/dsh/sgme-bridge/,dsh-sgme 已发布 npm)。本文件让 dsh plugin add github:freehul/sgme 直接可装,并让 dshfind 能推导出 npm 安装命令。
Cross-session project memory for DeepSeek Harness: agent-maintained Markdown memory with progressive-disclosure topic files, digest-deduplicated injection, opt-in silent distillation, seven memory tools, and a live settings panel.
DeepSeek Harness 长期记忆与自进化插件:L0 对话捕获 → L1 记忆提取 → L2 场景归纳 → L3 用户画像,自动召回注入 + 技能合成,纯本地。
OpenViking retrieval, resource management, auto-recall and session memory for DeepSeek Harness.
分层 Token 优化管道 v2:输出阶梯 / 结果缓存 / 文件 diff / 工具裁剪 + MCP 懒加载 / 压缩调度 / 缓存命中率,基于 DSH 真实插件 API
TaskPack: an open, offline task-handoff container. Task Passport is the durable state; TaskPack is the box it travels in.
DeepSeek Harness network-proxy plugin: route the agent's own network requests (web_search / web_fetch / external APIs) through a configured HTTP/HTTPS-CONNECT/SOCKS5 proxy — both the global fetch wrapper and the harness proxy layer that web_fetch actually uses — with in-memory traffic logging (previews, counts, byte totals) and a settings UI.
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
DeepSeek Harness plugin that connects to a PowerContext Server over HTTP for recall, memory, handoff, experience, and skills.
Bridge Claude Code's memory, skills, and configuration into DeepSeek Harness — zero migration, full compatibility
Standalone DeepSeek Harness plugin: continual harness self-evolution. The agent persists and refines reusable prompt notes, memories, skill contracts, and subagent specs through small evidence-backed edits, with automatic refinement gates, rollback, and prompt injection.
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.
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.
DeepSeek Harness 记忆插件 - 零外部依赖的 LLM 长期记忆系统
A typed, inference-capable ontology (TBox + ABox) plugin for DeepSeek Harness — durable domain knowledge the agent can define, assert against, and query under schema constraints.
Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation, context explosion prevention, global Soul identity
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_*)。
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。