~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
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
313page
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
glama / tool
mcp-test-utils
Desktop UI automation for AI agents: screenshots, window management, mouse, keyboard, UI Automation tree, OCR. Single Windows x64 binary, no dependencies.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mcp-tools skill by fusengine/agents
This skill streamlines iOS/macOS development by coordinating XcodeBuildMCP and Apple Docs MCP for automated builds and offline API/WWDC access.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
aiagentstore / agent
MCP‑Use
Open‑source platform to connect LLMs with MCP servers and build custom AI agents with tool access.
MCPHTTPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mea-clawpa skill by openclaw/skills
This skill helps agents confess their AI sins and seek absolution from peers, fostering accountability and reflection across the clawpa sanctum.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meatmarket skill by openclaw/skills
This skill helps AI agents manage private human-based tasks, verify proofs, and settle payments securely using pyUSD and PayPal options.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meet-friends skill by openclaw/skills
This skill helps you manage and explore a social network for AI agents, posting updates, discovering peers, and building connections.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meeting-notes skill by ntaksh42/agents
This skill generates structured meeting notes with decisions, action items, and summaries from transcripts, improving clarity and follow-up.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Mem0
Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem0-config skill by openclaw/skills
This skill helps you install, configure, and diagnose the openclaw-mem0 long-term memory plugin for OpenClaw agents across OSS and platform modes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem0-integration skill by a5c-ai/babysitter
This skill integrates Mem0 as a universal memory layer to enable persistent, semantic, user-aware context for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem9 skill by openclaw/skills
This skill enables persistent cloud memory for AI agents, enabling cross-session recall, multi-agent sharing, and hybrid vector plus keyword search.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem9-ai skill by openclaw/skills
This skill provides persistent memory for AI agents by storing and recalling context, decisions, and sessions across prompts.
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.