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为 DeepSeek Harness 带来分层记忆(全局 / 用户 / 项目 / GIT 分支 / 每日)与自我进化(经验沉淀 + 技能自动创建)和技能管理、待办管理、CLI 调度(kimi/codex/grok/hermes 等外部 AI 统一调度)、临时信息便签,带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness.
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Composable working, reasoning, quality, and human-reviewed self-evolution controls for DeepSeek Harness Web.
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Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.
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Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
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DSH-KRouter — Agent knowledge OS. Self-evolution. Timer on by default; your vault-page API key or logged-in CLI is the key. Cursor, Codex, Claude Code, DeepSeek Harness. No vector store.
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Continual self-evolution plugin for DeepSeek Harness: versioned, auditable, rollback-safe harness state (prompt notes, memories, skills, subagent specs) refined from session trajectories.
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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
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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.
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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.
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Client-side writing panel for the DeepSeek Harness: project volumes, library, search, and evolution tab with inline version-chain diff and SVG thread graph.
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Lightweight capability discovery, review, and installation workflow for DSH.
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Self-evolving plugin for DeepSeek Harness: observes agent behavior, proposes improvements to its own skills/policies via LLM, validates them in a sandboxed trial agent, and applies versioned mutations with rollback.
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Loom (织机) — second-validator plugin for DeepSeek Harness: a silent external coach that weaves your agent's tools, skills, config and even its model from usage history, with deterministic verification and cold-apply.
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Git-backed long-term memory and evolution plugin for DeepSeek Harness
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Recursive Self-Improvement (RSI) engine for DeepSeek Harness: a bounded perceive → integrate → verify → repair → propose loop that keeps a downstream desktop app in sync with the fast-moving upstream harness. AI for AI — DSH maintains DSH.
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Cross-session memory with governance, self-evolution and an approval-gated write path for DeepSeek Harness. Heat-ranked recall, environment conventions, forgetting lifecycle, supersession chains, poisoning defense, auto-distillation, and an open measurement ABI.
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Benchmark-driven self-evolution plugin for DeepSeek Harness: evaluate, optimize, snapshot, accept or roll back.
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dsh自动进化记忆系统
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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
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DeepSeek Harness bundle that registers the skills-summarize-audit skill pack on ctx.skills.
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Host-agnostic controller for staging, validating, scoring, and solidifying evolved tool plugins.
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Proof-carrying Skill self-evolution for DeepSeek Harness.
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DeepSeek Harness bundle that registers the session-summarize skill pack on ctx.skills.
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The pet that grows with your DeepSeek Harness agent: stage evolution from real signals (verified rules, sessions, tool calls), agent-state mirroring, and one-click growth share cards.