Question 1

What is Archy AI?

Accepted Answer

Archy AI gives AI coding agents a deterministic source of truth for your system. It analyzes repositories, builds a living system model, exposes that model through MCP, and helps your workflow remediate issues with more context and less guesswork.

Question 2

How does Archy work?

Accepted Answer

You connect a repository, Archy analyzes the codebase, maps architecture and dependencies, syncs relevant schema context, and exposes that live system model through MCP and the dashboard. Your agents can then work from shared system context instead of rebuilding understanding in prompts and wasting cycles on false starts.

Question 3

How long does setup take?

Accepted Answer

Most teams can connect a repository and start analysis in about 10 minutes.

Question 4

Why offer a 3-day free trial?

Accepted Answer

Because three days is enough to connect a repository, expose major risks and waste patterns, and start repairing what is slowing launch or creating future cleanup costs.

Question 5

Do I need technical knowledge to use Archy?

Accepted Answer

No. Archy is useful for experienced engineers, but it is especially valuable for AI-first builders who can ship fast and need a better source of truth than prompts, memory files, or ad hoc notes.

Question 6

Is my information secure?

Accepted Answer

Yes. All data is encrypted in transit and at rest. We use enterprise-grade security practices, and your project information is never shared without your explicit consent. Read our Privacy Policy for full details.

Question 7

What does Archy model?

Accepted Answer

Archy models architecture, dependencies, schema, service boundaries, user journeys, risk, remediation tasks, and other system-level context that AI coding agents usually have to reconstruct from partial prompts.

Question 8

What does MCP give me?

Accepted Answer

MCP gives your workflow direct access to Archy's live system model. That means your agent can query current system context, prioritized work, architecture relationships, and verification state instead of relying only on the context window.

Question 9

Why is this better than more memory files?

Accepted Answer

Because memory files are still just more prompt context. Archy gives your agent a living system map that persists outside the model's short-term context, which reduces drift, repeated explanation, and wasted tokens.

Question 10

Does Archy replace the coding agent?

Accepted Answer

No. Archy improves the coding agent by giving it deterministic system context, prioritization, and verification. The agent still builds. Archy makes that execution more coherent and reliable.

Question 11

What is the difference between Codewatch and Codewatch Pro?

Accepted Answer

The engine quality is the same on both plans. Both include the same audit engine, the same system model quality, and the same MCP toolset. The difference is usage: Codewatch includes up to 200 analyses per month across up to 3 repositories, and Codewatch Pro includes up to 500 analyses per month across up to 10 repositories.

Question 12

Do all plans get MCP access?

Accepted Answer

Yes. All paid plans get access to Archy's MCP surface. We do not downgrade the intelligence layer by tier.

Question 13

Is Archy a subscription?

Accepted Answer

Yes. Archy is a recurring product for ongoing repository analysis, agent context, remediation support, and maintenance.

Question 14

Do you offer refunds?

Accepted Answer

Contact support@archyai.io if there is a billing problem. Requests are handled case by case.

Question 15

Can Archy help with existing projects?

Accepted Answer

Yes. That is one of the main use cases. Archy is built to analyze real repositories, map existing system state, and help agents work safely inside active codebases.

Question 16

Does Archy write code?

Accepted Answer

Not directly. Archy provides the source of truth your coding agent works from. It improves planning, prioritization, stack awareness, schema alignment, and verification around the code-writing workflow.

Question 17

Does Archy save tokens?

Accepted Answer

Yes. A major part of the value is reducing repeated context reconstruction. When your agent can query a persistent system model, you waste fewer tokens re-explaining the environment every session and fewer cycles chasing the wrong fix.

Question 18

Is Archy useful for multi-agent workflows?

Accepted Answer

Yes. Shared system context is one of the biggest advantages. Archy helps multiple agents work with the same understanding of architecture, risk, dependencies, and current priorities instead of diverging across sessions.

Frequently Asked Questions

Getting Started

System Model & MCP

Pricing & Access

Technical Questions

Still have questions?