665 results
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.
A kanban board plugin for DeepSeek Harness: a 'Board' tab, card comments and 15 kanban_* AI tools, with per-workspace isolation and disk persistence.
DSH agent preset: chief coordinator + 17 domain-expert subagents with taskboard scheduling, quality gates, and real inter-expert communication bus (专家模式)
Drive OriginLab Origin scientific plotting from any AI via MCP - 62 tools: file import (CSV/TXT/XLSX, CJK-safe), plan-confirm flow with plan_hash staleness guard, domain templates (stacked spectra/XRD/dual-Y/forest/multi-panel), fine-grained editing (per-curve color/width/symbol, axis, legend anchors, page geometry, window management), editable OPJU delivery, deterministic readback verification, inline image preview, statistics batch (t/ANOVA/PCA/survival) with confidence notes, system diagnostics, scenario cookbook, version capability handshake, stable error codes with recovery map. Works standalone via npx (official MCP SDK) and inside DeepSeek Harness (DSH bundle).
Bring any file into the conversation — stashed to the workspace and referenced by path; zero type rejection
OpenViking retrieval, resource management, auto-recall and session memory for DeepSeek Harness.
OOMOL Connector integration for DeepSeek Harness: connect apps and call Actions through progressive MCP discovery.
Structural code intelligence for DeepSeek Harness (dsh) — gives the agent codegraph and codegraph_index tools to find where a symbol is declared, what calls it, and what a change reaches, from a tree-sitter index it builds itself. Compatible with the codegraph CLI's on-disk format.
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
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。
DSH 完整移植版 dietrichgebert/ponytail — 懒惰 senior 模式，6 个中文 Skill，无空 tool
Reduce large agent tool output by what it means, not by where it was cut.
TaskPack: an open, offline task-handoff container. Task Passport is the durable state; TaskPack is the box it travels in.
MiniMax multimodal bridge for DeepSeek Harness (DSH). One mmx_bridge tool covers describe/image/video/speech/music/cover/search/quota; optional web_search/read_image takeover; built-in client enhancement renders inline players/previews plus a settings-page management card in the Web GUI.
DSH Studio: a local Desktop and Web workbench over DeepSeek Harness
Codex conversation backend for DeepSeek Harness, powered by the Codex App Server with approvals and DSH tool support.
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
Local PDF, Office, image, and OCR document intelligence for DeepSeek Harness.
DSH Mini TUI: a minimalist terminal interface plugin for DeepSeek Harness
AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
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.
The standard way to install Claude Code / Codex / Cursor / Kimi plugin marketplace suites in DeepSeek Harness (DSH) — zero conversion, zero file copying. Skills, MCP servers, hooks and slash commands are injected into your dsh sessions at runtime.
Runtime requirement drift guard for DeepSeek Harness — keeps long-running agents aligned with user intent while they work.
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.