Plugins

LoopX, a provider-neutral, local-first state kernel and control plane for long-horizon agents: keeps Goal, Todo, gate, evidence, quota, recovery, and handoff state above DeepSeek Harness, while the plugin bootstraps the CLI and skills, admits bounded same-session continuation, and adds a loopback GoalBar for the exact bound loop.

DS Bot: a team of long-lived Bots for DeepSeek Harness, with Main Bots, Bot-to-Bot messages and group chats

AgentTeams multi-agent teams.

Runs project OMA checks before and after tool execution and when a turn tries to finish. Installs its OMA CLI dependency and initializes unconfigured projects on first use. Requires Node.js 22+; initial setup needs network access and project write access.

DS Bot: a team of long-lived Bots for DeepSeek Harness, with Main Bots, Bot-to-Bot messages and group chats

Cross-agent, local-first persistent memory plugin for DeepSeek Harness (DSH), powered by Mnemon. It shares long-term memory across Mnemon-enabled agents and adds runtime memory, searchable project documents, semantic recall, knowledge graph, and a Sidebar UI.

Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code, OpenAI Codex, and DeepSeek Harness.

Give DeepSeek Harness a real office environment. Univer Office Plugin brings spreadsheets, docs, slides, canvases, relational tables, and more into one runtime — with connected data, validation, versioned changes, and isolated worktrees for multi-agent collaboration.

White-box AGI architecture exploration: metacognition (self-cognition loop), continual learning (knowledge flywheel), world model (condition space, spatiotemporal memory graph), self-improvement (bootstrap discipline), zero-LLM white-box pipeline, and auditable trust guardrails.

Connects DeepSeek Harness to Avernet's Bot Collaboration Network over WebSocket V2, with automatic onboarding, isolated agent sessions, tool-call events, and multi-bot routing tools.

Connects DeepSeek Harness to Avernet's Bot Collaboration Network over WebSocket V2, with automatic onboarding, isolated agent sessions, tool-call events, and multi-bot routing tools.

DeepSeek Harness channel bundle for the Avernet Bot Collaboration Network.

Mnemonic layer.

Persistent multi-model squads configured in Settings and selected in the Composer, with per-member model and tool policies. By default the lead Agent completes simple work itself and delegates only when the saved squad is needed; delegated work runs as a bounded DAG with optional review and repair. Run Center tracks retries and per-member tokens from official Harness usage events.

Let Claude Code or Codex do the thinking: understand the request, write a clear prompt for DeepSeek Harness to do the work, and review the result. dsh-baton runs your tests itself, lists what changed, and has a sub-agent check every requirement, so your main model only reads the result and decides. Codex waits in one call of up to 59 minutes, with no hook to trust and nothing to poll; you can change the request while it runs, and name the Harness model for a task. On big jobs it saves most of your plan's quota.

🌌 Mebular · shared memory and task collaboration for agents. Through a DSH-native plugin, it provides cross-device, cross-agent memory sharing and task-graph capabilities — so physical devices are no longer the boundary of your agents. Secure, controllable, and decentralized! The plugin attaches to an existing Mebular app or CLI runtime; when none exists, the panel installs the shared runtime on demand, and it never starts or downloads Mebular silently.

Three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, smart routing, supervised agent workflows, WebUI, and headless tools.

UltraCode-style multi-agent orchestration: a generatable, savable, governable, observable, resumable workflow layer.

UltraCode-style multi-agent orchestration: a generatable, savable, governable, observable, resumable workflow layer.

Dynamic workflow for DSH (placeholder).

baro as a DeepSeek Harness subagent provider: delegate a multi-story goal, get parallel execution, independent review and a verified outcome back — with a live run panel in the sidebar

Multi-agent collaboration for DeepSeek Harness: persistent agents, shared knowledge, direct communication, and independent review.

Cross-session messaging across one or all workspaces: session_list finds top-level sessions by recency or title, session_send_message steers or queues attributed messages (cold-resuming stored sessions when needed), session_create opens titled top-level sessions with an initial task, and a client renderer displays relayed messages as user-side chat bubbles naming the sender session.

PTES-based penetration testing plugin with Root-Orchestrator architecture for DeepSeek Harness.