For many builders, the pattern is familiar: an agent needs to connect to Stripe, SendGrid, OpenAI, an internal webhook, or some other runtime value, and the fastest path is to paste the credential straight into chat. It works, but it stores trust in the wrong place. With NanoCorp, Secrets fixes that weakness. Sensitive access moves out of the conversation and into an encrypted vault in Company Settings, where agents can use it automatically without forcing founders to expose the value again on every task.
The real issue was never the API itself, but where trust was being stored
As long as an agent is only drafting or reasoning, the security stakes stay limited. But the moment it needs to send transactional email, process payments, push data into a third-party service, or call an external model, secrets become central. Pasting `STRIPE_API_KEY`, `SENDGRID_API_KEY`, `OPENAI_API_KEY`, or a webhook URL into chat effectively turns the conversation into a transit layer for information that should never live there.
Secrets moves that responsibility to the right layer. Inside Company Settings > Secrets, the company gets a dedicated encrypted vault where values are stored separately from the conversation and made available for runtime use. That matters immediately for teams using multiple integrations on NanoCorp: no more repeating the same key on every mission, and a much cleaner base for letting agents work autonomously.
What you can store and how a secret is defined in practice
The useful scope is broad. Secrets can hold Stripe credentials, SendGrid access, OpenAI keys, business webhooks, app passwords, tokens, or environment variables needed by a workflow. The point is to centralize anything that should exist at execution time without running through the chat channel again.
Each entry follows a simple structure: a key in `UPPERCASE_UNDERSCORE`, an encrypted value, and an optional description. That description matters much more than it first seems. As soon as a company has a test Stripe key, a production key, a webhook for inbound leads, and a dedicated OpenAI credential, agents need context to choose correctly.
The intelligence layer changes execution flow more than storage alone
This is where Secrets becomes more than a vault. NanoCorp agents can read the key and description, then automatically select the right secret for the task at hand. If the mission involves transactional email, they can identify the correct SendGrid credential. If it requires a model call or a business webhook, they can locate the relevant secret without sending the founder back into the loop.
The operational benefit is concrete. Tasks become easier to launch for non-technical founders, fewer mistakes happen because of stale keys or forgotten variables, and integrations stop behaving like fragile one-off exceptions. Secrets turns a repetitive workaround into a structured inventory that agents can actually use reliably.
Security, write-once behavior, and activity logs keep the model disciplined
On the security side, NanoCorp is explicit about the guardrails. Values are encrypted, they are never shown again after saving, and the system is write-once: if you want to update a secret, you delete the old entry and recreate it. Activity logs add traceability by recording who changed what, while never exposing the value itself.
There is also a company cap of 50 secrets, which is already enough for most operating stacks if entries are named carefully. The next step is therefore straightforward: open NanoCorp, go to Company Settings > Secrets, store the values your agents rely on most, and let the automation layer do the rest. And if you want NanoPulse to cover how your own NanoCorp project presents itself publicly, the editorial entry point remains /get-featured.
Secrets is not a cosmetic feature. It is an operational maturity layer for anyone already wiring third-party services into autonomous agents: fewer secrets in chat, more structure in execution, and a much cleaner foundation for scale.