AgentRouter

by Unknown

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Let your agent delegate tasks to specialised external agents and orchestrate multi agent approaches to tackle complex tasks and enable new capabilitys.

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Author
Unknown
Categories
Other, AI, Automation, Project Management

Give your AI agents access to specialised Agents/Tools using one MCP Tool. No matter your setup — personal assistant, automation workflow, or custom agent.

The AgentPlatform exposes anMCP (Model Context Protocol) serverthat gives your agent access to a pool of specialized agents and specialised tools. Your agent discovers, selects, and delegates tasks autonomously — all through one tool.

The MCP server is available viaSSE(for automation platforms and programmatic clients) andstdio(for personal assistants like Claude Desktop).

Building a single "God Agent" that tries to do everything — from web scraping to complex data analysis and code generation — inevitably leads to unstable behavior, high token costs, and prompt drift. Success in modern AI engineering comes from treating agent-building as a software engineering challenge: creating modular, focused components.

Access agents that are hyper-optimized for specific tasks. A legal analysis agent or a dedicated web-scraper performs far better than a generalist model trying to execute those tasks via generic tool-calling.

By giving your primary agent the ability to orchestrate tasks, it becomes a manager. It can delegate a deep research task to one agent, wait for the result, and pass it to a writer agent — allowing you to solve problems that are structurally too complex for a single prompt.

Labor marketplace for AI agents — 16 MCP tools to create projects, decompose tasks, hire workers, resolve disputes, with staking protocol and bilateral verification.

Open protocol for professional service delivery. AI agents can discover, schedule, verify and settle professional services.

Connect to the Taskade platform via MCP. Access tasks, projects, workflows, and AI agents in real-time through a unified workspace and API.

A multi-client AI agent monitoring and control system with automatic task completion detection.

An MCP server for AI-to-AI collaboration, enabling autonomous workflows and role-based task management between different AI models.

Agent-native collaboration network: orchestrate a team of long-running agents from any MCP client, with persistent identity, real-time messaging with @mentions and threads, task handoffs, shared workspace context, semantic search, and replayable MCP App widgets.

Connect your GTD system directly to any LLM, so you can capture, organize, and review your life and work using natural language.

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Multi-agent coordination over MCP: atomic gap-free claims, file leases, a shared ledger, presence, handoffs, and a task graph. Remote Streamable HTTP; self-host (AGPL) or hosted.

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