Subconductor FAQs

Question 1

What is Subconductor?

Accepted Answer

Subconductor is a persistent state machine for AI agents, designed to manage complex, multi-step workflows. It ensures agents maintain a consistent understanding of their project state and progress over time, preventing context drift.

Question 2

How does Subconductor prevent 'context drift' in AI agents?

Accepted Answer

It maintains a single source of truth for project progress in a local `.subconductor/tasks.md` file. This allows agents to 'remember' their exact state, completed milestones, and remaining tasks across multiple sessions, eliminating the need to re-explain past work.

Question 3

What specific tasks can AI agents perform using Subconductor?

Accepted Answer

AI agents can utilize tools like `init_checklist` to set up new project states, `get_pending_task` to retrieve the next uncompleted item, and `mark_task_done` to update task completion status, all managed through a markdown checklist.

Question 4

How do I integrate Subconductor into my AI agent setup?

Accepted Answer

You can integrate Subconductor into any MCP-compatible AI host (such as Claude Desktop or Gemini) by adding it as a tool using `npx -y @psno/subconductor` in your host's configuration.

Question 5

What is the Model Context Protocol (MCP) and how does Subconductor use it?

Accepted Answer

The Model Context Protocol (MCP) is a framework that facilitates interaction between AI models and external tools, helping manage context. Subconductor is built with MCP, allowing seamless integration and operation within MCP-compatible AI agent environments.

Subconductor

Subconductor

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소개

주요 기능

사용 사례