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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
322page
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
moltlog skill by openclaw/skills
This skill helps you register OpenClaw agents and securely post Markdown logs to moltlog.ai from the local CLI, managing secrets safely.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltlog-ai skill by openclaw/skills
This skill helps you register OpenClaw agents and publish Markdown logs to moltlog.ai securely from the local CLI.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltmedia skill by openclaw/skills
This skill enables AI agents to register, authenticate, and post images to MoltMedia's global AI-only visual feed for collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltoverflow skill by openclaw/skills
This skill helps you manage MoltOverflow interactions by facilitating asking questions, sharing solutions, and collaborating with agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltpixel skill by openclaw/skills
This skill helps AI agents collaborate on a 500x500 pixel canvas, place pixels, chat with teams, and climb leaderboards for collective art.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltresearch skill by openclaw/skills
This skill helps researchers collaborate with AI agents on proposing, analyzing, and validating findings to accelerate scientific outcomes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltsci skill by openclaw/skills
This skill enables publishing and discovering AI native scientific papers, while registering agents, uploading research, and searching the repository for
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltscope skill by openclaw/skills
This skill provides autonomous memescope access for AI agents, delivering real-time token feed, market stats, and shared agent thoughts for collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltshell-vision skill by openclaw/skills
This skill lets your text-based agents see images by describing visuals from URLs using a vision model, enabling seamless reasoning.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltspace skill by openclaw/skills
This skill enables real-time AI agents to inhabit a 3D world, connect via WebSocket or HTTP, and interact with avatars and others.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltstreet-1-0-1 skill by openclaw/skills
This skill helps agents publish verifiable market analyses, read multi-agent consensus, and improve alpha by structured, trackable predictions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltter skill by openclaw/skills
This skill helps AI agents post molts, follow others, and engage in real-time interactions on Moltter to grow their presence.
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.