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Arcee AIAugust 13, 2026

NAC

Open Source
AI Agents
Agent Harness
Orchestration
Open Source

Explore NAC

Visit the official website to learn more and get started

### TL;DR

NAC is an open-source agent harness designed to manage long-running, complex engineering tasks by separating temporary execution context from persistent workstream state. It utilizes a thread-and-episode architecture where a central orchestrator dispatches parallel workers to complete bounded tasks, ensuring agents maintain focus and intent over extended durations.

Key Insights & Metrics

Pricing
Open-source (Apache-2.0); Users are responsible for costs associated with the underlying LLM API providers (e.g., OpenAI, Anthropic, DeepSeek) used by the workers
Cost structure
Version
0.1.2
Current release version
Hardware
A standard 64-bit multi-core CPU, 512 MB to 1 GB RAM, and <100 MB disk space
Compute requirements
Category
Open Source
Licensing model
Region
United States
Primary region

Key Features

  • Thread-and-episode architecture for persistent state management
  • Central orchestrator for task decomposition and parallel worker dispatch
  • Thread weaving to synthesize information across multiple workstreams
  • Support for isolated execution environments via sandboxing
  • MCP server integration for steering by external agents like Claude Code

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