Frequently Asked Questions

What is Agent Context Base and how is it different from a Knowledge Base?

A Knowledge Base (like Notion) is designed for human reading. An Agent Context Base is designed for AI consumption. We store your data as structured 'Know-How' (JSON/Graph) rather than raw text, ensuring your Agents receive precise, machine-readable logic instead of unstructured HTML noise.

What's the difference between Context Base and a Vector Database?

Vector DBs rely on probabilistic similarity, which is fuzzy and prone to hallucinations when dealing with exact numbers, SKUs, or complex logic. Context Base provides deterministic retrieval based on hybrid indexing (Text + Structure), giving you 100% accuracy for mission-critical business context.

Who is this product built for?

It is built for the 'Vibe Coding' generation: FDEs (Full-Stack Engineers), Product Engineers, and 'Business Geeks' who are building their own AI tools using Cursor or Claude. If you need a backend for your custom Agent that is more flexible than a SaaS and smarter than a database, this is for you.

Does it support local deployment? My data cannot leave the company.

Yes. We follow a 'Local-First' architecture. You can run the entire kernel via Docker on your own infrastructure. Your proprietary 'Know-How' and sensitive data never leave your VPC, while still empowering your internal Deepwide Research Agents.

What is the pricing model?

We do not charge per 'Seat' like traditional SaaS. We charge based on 'Asset Usage'—specifically the volume of Know-How stored and the API compute for retrieval/ingestion. This aligns with the 'Infra + Talent' model of the AI era.

Can I use this for both internal BI and external Customer Support?

Yes. We act as the single 'Source of Truth'. You maintain one centralized Context Kernel, and we distribute tailored logic via API to your internal Research Agents and your external Support Bots simultaneously.

How can I get support or contact the team?

You can reach out to our team by emailing the founder: [email protected], or follow puppyone on Twitter and DM us: https://x.com/puppyone_ai. We also have a Discord community for real-time support and discussions.