nac MCP Server
arcee-ai/nac
[](https://agentrank-ai.com/tool/arcee-ai--nac/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
arcee-ai/nac is a Rust tool licensed under Apache-2.0. Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent. Topics: agent-harness, agent-orchestration, agent-skills, agentic-workflows, ai-agents, developer-tools, llm-agents, long-running-agents, mcp, model-context-protocol, multi-agent-systems, rust.
Ranked #765 out of 24842 indexed tools.
In the top 4% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
281 stars → growing community
Last commit 2d ago → actively maintained
44/59 issues closed → decent issue management
8 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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[](https://agentrank-ai.com/tool/arcee-ai--nac/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/arcee-ai--nac/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/arcee-ai--nac" alt="AgentRank"></a> Matched Queries
From the README
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<a href="https://arcee.ai">Arcee</a> •
<a href="#documentation">Documentation</a> •
<a href="https://github.com/arcee-ai/nac/releases">Releases</a> •
<a href="https://platform.arcee.ai">Arcee Open Model API</a>
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<a href="https://github.com/arcee-ai/nac/actions/workflows/stable-release.yml">
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<a href="LICENSE">
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nac is an open-source agent harness for longer, ambitious tasks — experiments, training runs, infrastructure, and prototyping that has to stay aligned with the original intent. It uses a thread-and-episode architecture inspired by [slate](https://randomlabs.ai/blog/slate): a central orchestrator plans and decomposes work but cannot execute commands or edit files; it only launches threads, which return episodes — structured summaries of what they accomplished. Also takes inspiration from [nanocode](https://github.com/1rgs/nanocode) and [pi](https://github. Read full README on GitHub → Get the weekly AgentRank digest
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