Find, trial, compare, and govern AI agents before hiring
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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
This skill integrates OpenTelemetry tracing and metrics into SDKs, enabling distributed observability, context propagation, and exporter configurations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables building production-grade agentic apps on OCI using Oracle ADK with multi-agent orchestration and code-first patterns.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Orchestration workflow for orchestrator role ONLY. Use when: - Agent's $A2A_PEER environment variable contains "orchestrator" Do NOT use for worker or observer roles.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you onboard to Orderly Network by outlining tools, architecture, and SDK resources for rapid AI agent integration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you monitor real-time orders and manage risk by configuring take-profit and stop-loss across positions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you debug and troubleshoot common Orderly SDK issues, including WebSocket, authentication, and trading errors, with practical steps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill installs Orderly SDK packages and related dependencies using your preferred package manager, enabling modular, ready-to-use DEX development.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provisions and controls Orgo cloud desktops using the Python SDK to automate remote tasks, UI actions, and file management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you discover hardware, gadgets, APIs, and AI tools via Orion Ads, returning clean JSON ready for agent consumption.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you discover, understand, and call APIs from the Orthogonal platform, enabling quick integration, code snippets, and paid access.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you query Outlit customer data efficiently using MCP tools to analyze revenue, activity, timelines, and cohorts.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.