Plugins

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.

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.

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

Delegate bounded coding tasks to a headless CLI agent (WorkBuddy by default, or codex, claude, aider or a custom command) and collect a structured result plus the real diff, with a writable-path whitelist, a dispatch lock over overlapping paths, an isolated worktree and a structured needs_human flag. Requires Python 3.10+ (standard library only) and one installed CLI executor (WorkBuddy/CodeBuddy by default, or codex, claude, aider or a custom command).

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

Dynamic workflow for DSH (placeholder).

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

Agent Teams for DeepSeek Harness: hand work to a team of agents that carries it end to end while you set the direction and hold the gates. Agents claim Tasks, hand work to each other, and have someone other than the builder verify it.

A persistent agent team for long-running collaboration in DeepSeek Harness: durable agent identities, per-project Workspaces, responsibility-bearing Channels, and Task Threads chaining session agents.

All seven Kimi ask/review/challenge/rescue/pursue/swarm/swarm-write providers through the local Kimi Code CLI, with managed hooks, jobs, budgets, and artifacts; also supports Claude Code and Codex.

Goal lifecycle management for dsh with an interactive kanban board: goals, criteria, attempts and reviews live in the workspace, driven by graph_* tools, with a two-lane board rendered in the conversation view.

DeepSeek Harness Cordis tools for All in Flash, powered by All in Luna

Role-based multi-agent team for DeepSeek Harness — your digital workforce. One goal assembles a team of product, architect, frontend, backend, reviewer and QA roles that deliver through a nine-phase gated pipeline, plus a persistent team you can keep directing across sessions. Zero runtime dependencies, no build step.

Domain-identity layer for long-running agent sessions — declaration-first domain addressing, a session factory, four-level pause, and model dispatch for coordinating multiple top-level sessions.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

Cross-session task delegation for DeepSeek Harness: spawn durable top-level sessions and send them tasks, read or steer them by base62 session alias, and approve their sandbox escalation requests through an approval bridge that refuses destructive deletes.

Delegate from DeepSeek Harness Web to existing Codex CLI, Codex Desktop and Claude Code sessions with progress and completion callbacks.

A governed swarm of six specialist DSH agents — orchestrator, planner, knowledge-base bridge, developer and two reviewers — turns a requirement into a strict phase pipeline where every delivery must prove itself with structured evidence before the next phase may start; reviewers are read-only, code merges only after a review pass, and an append-only event log gives full replay and audit on a live kanban board. Its design draws inspiration from the Hermes Agent kanban.

DeepSeek Harness tool plugin: run AgentFlow (material-canvas agent orchestrator) boards from the model

DeepSeek Harness plugin for Braid: background agent graphs, bounded loops, live updates, and execution progress

Runs AItelier pipelines from DSH over MCP: 39 tools (22 read, 17 write) to generate, run, inspect, edit, export and import multi-step SkillFlow pipelines. The steps execute in AItelier rather than in the DSH session and are polled by run_id, pause at engine-enforced checkpoints answered with answer_checkpoint, and leave per-step traces and step outputs to read afterwards; add_provider / map_model / edit_role point an individual role at a local or cheaper endpoint. Bundles an aitelier-pipelines skill.

Coordinate independent DSH Sessions and provider-backed members without merging their histories, using persistent native Rooms with identity-bound leading `@` mentions, direct delivery, broadcasts, and leader-scoped controls.

Agent plugin for major harnesses — DeepSeek Harness (DSH), OpenCode, Pi and Codex: define custom AI agent roles with per-role prompts, models, skills, permissions, memory and multi-agent orchestration.

Route each task to one model and its review to a different one, with qualification evidence, failover and a durable journal.