Sub-Agent MCP: LLM delegation and sub-agent orchestration via MCP
MCP for spawning sub-agents everywhere. Contribute to systemgroupnet/Sub-Agent-MCP development by creating an account on GitHub.
Sub-Agent MCP: LLM delegation and sub-agent orchestration via MCP launched on June 6, 2026 with 6 votes, #2,066 of 22,647 launches that month and more than 75% of that year's launches.
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Representing Agents as MCP Servers2025 · github.com · ▲58Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…
Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
Building a Deep Research Agent Using MCP-Agent2025 · thealliance.ai · ▲91Learn how MCP-Agent powers Deep Research Agents with simple orchestration, external memory, and scalable workflows. Open-source on GitHub.
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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