NanoClaw and OneCLI: Securing AI Agents via Credential Proxying

NanoClaw is integrating OneCLI's Agent Vault to ensure AI agents never handle raw credentials directly. This system proxies outbound requests and injects secrets at the gateway level, protecting against prompt injection and unauthorized access. The integration also introduces a policy layer to enforce rate limits and safety boundaries on agent actions.

Key Points

• NanoClaw agents now use OneCLI's Agent Vault to inject credentials into outbound requests, preventing agents from holding raw API keys.
• Traditional secrets managers only protect data at rest, whereas OneCLI protects credentials during execution by keeping them out of the agent's environment.
• The integration enables fine-grained policy enforcement, such as rate-limiting specific actions like email deletions to prevent autonomous errors.
• NanoClaw provides runtime isolation via Docker containers, while OneCLI provides credential and policy isolation.
• Both NanoClaw and OneCLI are open-source projects designed to make AI agents safer for real-world applications.

Sentiment

The community is cautiously positive about the general direction of credential proxying for agents but deeply skeptical about this specific implementation. Most commenters agree that agent security is an important problem, but many feel this solution is incomplete — it addresses credential leakage but not the harder problem of agents misusing legitimate access. Security-minded commenters prefer OAuth-based approaches over API key vaulting. The broader discussion reveals genuine enthusiasm for claw-based agents from active users, tempered by significant skepticism from those who haven't adopted the technology.

In Agreement

• Credential proxying is a meaningful step forward for agent security, preventing raw API key exposure in agent context windows
• The combination of Docker-based runtime isolation (NanoClaw) and credential isolation (OneCLI) provides layered security
• The proxy architecture creates a valuable audit trail of all agent API interactions for debugging
• Deterministic rules enforced at the proxy level are better than relying on agent behavior, since 'the agent doesn't need to behave, it just can't do what the rules don't allow'
• NanoClaw is doing good work aggregating security efforts for personal AI assistants

Opposed

• OAuth (as used in MCP) is fundamentally better than API key vaulting because it supports rotation, expiry, scopes, and delegated access
• Host/path-based policy matching is ineffective for GraphQL, JSON-RPC, and similar protocols where all requests go to a single endpoint
• The real unsolved problem is agents causing havoc with the access they legitimately have, not credential leakage
• Rate limits are easily circumvented by agents finding bulk-operation API endpoints
• The solution has no security audit and amounts to reinventing proxies with a policy layer
• No keys of any kind should exist in the agent's VM/container — even placeholder tokens can be mapped back to real credentials