Multi-agent workflows, orchestration frameworks, and autonomous runs.
Tools for running more than one agent, or one agent for longer than a single turn. This covers orchestration frameworks that split work across sub-agents, planning loops that decompose a task before executing it, handoff patterns, and harnesses that keep long autonomous runs from drifting. Useful when a job is too big for one prompt and you need structure rather than a bigger context window.
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Use to spawn or check on long-running background agent jobs (each launches a new Docker agent container that opens a PR when done). Trigger when the user says "create a background job", "spawn an agent", "kick off a job", "run this in the background", "check job status", or asks "what's the status of job <id>".
Turn any workflow into reusable AI agent skills that install on 17 platforms — Claude Code, Copilot, Cursor, Windsurf, Codex, Gemini, Kiro,…
Multi-agent YAML workflow engine — 211 AI roles, auto DAG parallelism, zero code. One sentence → multiple AI roles collaborate → complete plan in minutes. 10 LLM providers, 7 need no API key.
Apify MCP Server
Multi-path parallel product analysis with cross-model test-time compute scaling. Spawns parallel agents (Claude Code agent teams + Codex CLI) to explore product from multiple perspectives, then synthesizes findings into actionable optimization plans. Can invoke competitors-analysis for competitive benchmarking. Use when "product audit", "self-review", "发布前审查", "产品分析", "analyze our product", "UX audit", or "信息架构审计".
Discovers, searches, and installs skills from multiple AI agent skill marketplaces (400K+ skills) using the SkillKit CLI. Supports browsing official partner collections (Anthropic, Vercel, Supabase, Stripe, and more) and community repositories, searching by domain or technology, and installing specific skills from GitHub. Use when the user wants to find, browse, or install new agent skills, plugins, extensions, or add-ons; asks 'is there a skill for X' or 'find a skill for X'; wants to explore a skill store or marketplace; needs to extend agent capabilities in areas like React, testing, DevOps, security, or APIs; or says 'browse skills', 'search skill marketplace', 'install a skill', or 'what skills are available'.
TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML
Workflow control for AI coding agents
Agent-first screenshots — an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app" task.
MCP server for SearXNG integration
A middleware to provide an openAI compatible endpoint that can call MCP tools.
Autonomous task execution driven by task documents from /task-alignment (living under ~/.myagents/tasks/<taskId>/). Reads task.md as the goal, decomposes work, delegates to subagents when appropriate, runs independent verification, and delivers results. Acts as a UserProxy Agent — the human's representative during autonomous execution. Use when the user dispatches a task from the 任务 panel or explicitly wants to start execution. Trigger phrases include '/task-implement', 'start the task', 'go ahead and implement', 'execute the plan', or when the user confirms alignment documents and says something like 'looks good, go'.
把用户的可复用需求封装成标准化的 Agent-CLI 工具，并用 myagents tool add 注册进 MyAgents 工具注册表——注册后所有未来会话（builtin / Claude Code / Codex / Gemini 全 runtime）的 AI 都会在 system prompt 里自动发现它。触发场景：(1) 用户说「把 XX 封装成工具」「做成一个工具」「注册个工具」「写个 CLI」「以后能直接用」；(2) 用户描述一个会反复出现的自动化需求——文档/文件批量处理、调用某个云 API、用某个多模态大模型做图像/视频理解等，即使没说"工具"两个字；(3) 你发现自己第二次为同类需求写几乎一样的脚本——这时要主动提议把它升格为注册工具，不要等用户开口。反向边界：一次性任务就地解决、不铸工具；接入现成的 MCP server 用 myagents mcp，不归这里。
Container-side agent runner for HappyClaw
Alignment conversation starting from a 想法/idea. Co-decides with the user whether the idea should be acted on directly in the current session, or fixed into a formal Task for independent dispatch (one-off or recurring). Handles lightweight 'do it now while we talk', heavyweight 'define precisely, run later or on a schedule', and 'just help me think about this' — all on the same skill. Use when the user arrives via the 想法 panel's 'AI 讨论' button (parameter dictionary in the first message), or says 'let's think this through', 'help me plan this', 'I want to explore X', 'I have an idea', '/task-alignment'. Also use proactively when a user jumps into a complex task without defining scope or success criteria — pause, align, and help them pick the right vessel (this session vs. a task).
Expert-level Home Assistant configuration management: deploy workflows, SSH/hass-cli access, automation verification, and Lovelace dashboard development
MCP Client for Ollama - A client for connecting to Model Context Protocol servers using Ollama
Use when building with the yahoo-finance2 TypeScript/Deno/npm library, using its Yahoo Finance data modules, CLI, or MCP server, or contributing to the yahoo-finance2 repository including modules, validation schemas, cached fixtures, and npm/JSR build output.
Use the mcpc CLI to work with MCP (Model Context Protocol) servers from the shell - connect to a server as a persistent session, then list and call tools, read resources, get prompts, and run async tasks. Use --json for scripting and code mode. Reach for this whenever interacting with MCP servers, calling MCP tools, or accessing MCP resources programmatically.
Zero-dependency planning + execution with .flow/ task tracking and Ralph autonomous mode (multi-model review gates). Worker subagent per task for context isolation. Prime assesses 8 pillars (48 criteria) with GitHub API integration. Includes 21 subagents, 24 commands, 28 skills.
Agent orchestration harness for Claude Code — campaign persistence, fleet coordination, intent routing
MCP server for interacting with your LINE Official Account
Review diffs, files, and documents with inline annotations in a TUI overlay
Build and run autonomous AI agents with OpenClaw, Hermes, multiple model providers, orchestration, delegation, memory, skills, schedules, and chat connectors.
Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode, early agreement verification, and optional Telegram integration.
A MCP server for remote MacOS control
MCP server that verifies JWT identity tokens and exposes user claims via tools
BlockRun MCP Server - Give your AI agent web search, deep research, prediction markets, crypto data, X/Twitter intelligence. Paid via x402 micropayments.
MetaHarness — mint a custom AI agent harness from any repo. Paste a GitHub URL or start blank; output runs on Claude Code, OpenAI Codex, pi.dev, Hermes, OpenClaw, or RVM. WASM kernel (Rust → wasm-bindgen + NAPI-RS), 6 hosts, witness-signed Ed25519 releases, GCP Secret Manager validation. Browser Studio + npx metaharness CLI.
Official MCP server for Anytype API
Multi-agent development orchestration platform — 39 specialists, 4-phase orchestration, native parallel subagents, persistent sessions, and standalone review/debug/security/perf/seo/a11y/compliance commands
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
CLAUDE.md lifecycle toolkit: initialise, enhance, sync, and modularise CLAUDE.md files with a 150-line cap, automatic chaining, and Karpathy behavioural guardrails.
Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
MCP server that exposes Claude-style skills to any MCP client.
Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
Local-first, AI-native MCP server for network design automation. Network Sketcher lets LLM clients such as Cursor and Claude Code create Cisco-style network designs, manage device data, and generate L1/L2/L3 topology diagrams (SVG / PowerPoint), combined HTML viewers, device tables, and AI Context files from natural-language workflows.
OpenBSP plugin for Claude Code — WhatsApp channel and API access.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and gemini CLIs when installed) to get diverse perspectives on coding problems
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…