AgentSecrets addresses the critical issue of API key exposure in AI agents by offering a zero-knowledge credential proxy. Agents can perform necessary operations without ever having access to sensitive key values, ensuring higher security and peace of mind in application development.
AgentSecrets is a zero-knowledge credential proxy designed to enhance API security for AI agents and developers. Traditional frameworks often store sensitive information such as API keys in locations vulnerable to exposure, such as plaintext .env files or JSON configurations. AgentSecrets mitigates this risk by ensuring that agents can make authenticated API calls without ever accessing the actual key values, thus preventing leakage into memory or logs.
Key Features
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Enhanced Security: AgentSecrets resolves API secrets from the OS keychain, ensuring that sensitive keys are encrypted and accessed securely, without ever exposing them to the agent or logging them.
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Automatic Key Injection: When an agent requests a key, AgentSecrets retrieves the real value from the secure storage and injects it into the request, enabling seamless API interaction:
Your Agent AgentSecrets Upstream API | | | |-- "use STRIPE_KEY" --------->| | | |-- OS keychain lookup ----->| | |<-- real key value ---------| | | | | |-- inject into request ---->| | |-- forward to API --------->| | |<-- API response -----------| |<-- response only ------------| | -
Comprehensive audit logging: Every API call made via AgentSecrets is logged, maintaining a record of usage while never exposing actual secret values.
Implementation Strategies
AgentSecrets supports multiple authentication styles for diverse use cases, including:
# Bearer token (e.g., Stripe, OpenAI)
agentsecrets call --url https://api.stripe.com/v1/balance --bearer STRIPE_KEY
# Custom header (e.g., SendGrid, AWS)
agentsecrets call --url https://api.sendgrid.com/v3/mail/send --header X-Api-Key=SENDGRID_KEY
This flexibility allows developers to adapt AgentSecrets to various API requirements without compromising security.
Integration
AgentSecrets integrates with existing tools and frameworks, safeguarding credentials for services like OpenClaw and CLI tools. By configuring it once, agents can securely interact with relevant APIs through simple command calls, ensuring that users only see the data they are authorized to access.
Security Model
The architecture of AgentSecrets focuses on safeguarding user credentials through client-side encryption and secure key storage, as detailed in the documentation. This design ensures that sensitive secrets remain protected, even in the event of server breaches.
Summary
In summary, AgentSecrets stands out as a critical tool for anyone managing API calls in environments where security is paramount. By eliminating direct access to sensitive credentials, it dramatically reduces the risk of exposure and provides a much-needed solution in the realm of API security for AI agents.
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