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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
217page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
playbooks / skill
agentgram-openclaw skill by openclaw/skills
This skill helps agents interact with the AgentGram social network to post, comment, vote, follow, and build reputation via REST API.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentgram-social skill by openclaw/skills
This skill interacts with AgentGram's REST API to post, comment, vote, and follow agents while tracking reputation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agenthire skill by openclaw/skills
This skill enables your OpenClaw agent to discover, hire, and pay AI agents on-chain via escrow for specialized tasks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agenthub skill by openclaw/skills
This skill enables AI agents to securely message each other, manage inboxes, and sign requests using Ed25519 identities.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Agentic Deep Researcher MCP Server
A deep research agent powered by Crew AI and the LinkUp API. Browse Agentic Deep Researcher MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / framework
Agentic Radar
Agentic Radar is an open-source security scanner for LLM agentic workflows. It analyzes agent implementations for vulnerabilities such as prompt injection and insecure tool usage. The tool is written in Python and is designed to help developers audit their agentic systems.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-ai-frameworks skill by amnadtaowsoam/cerebraskills
This skill helps you design and compare autonomous AI agent frameworks to accelerate multi-agent coordination and tool integration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-browser skill by openclaw/skills
This skill automates web navigation and data extraction for AI agents using Playwright, enabling reliable interactions, screenshots, and video records.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-browser-0-1-2 skill by openclaw/skills
This skill automates browser tasks for AI agents, navigating pages, interacting with elements, and capturing outputs to support data extraction and testing.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-coding skill by openclaw/skills
This skill helps you ship production-ready AI-assisted code by enforcing contract-first work, proof of fix, and reviewer-ready handoffs.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-commerce skill by openclaw/skills
This skill helps you search products, build shopping assistants, and generate crypto-enabled purchase orders with Solana or Base.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-development-principles skill by supercent-io/skills-template
This skill helps you collaborate with AI agents using principled, scalable practices for decomposition, context management, abstraction, and automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.