There’s a specific horror that agentic AI developers know well: the moment you realize your agent has been logging API keys, or worse, that those keys have ended up in a prompt that got cached somewhere or included in a training batch.

OneCLI (YC S26) is built to make that horror impossible by design. Version 1.42.0, released July 23, 2026, ships with per-connection agent access controls, policy engine improvements, and security hardening that makes it one of the more complete open-source solutions to the agent credential problem.

The Core Problem: Agents Shouldn’t Hold Real Secrets

When an AI agent needs to call an external API — GitHub, Slack, your database, a payment processor — the conventional pattern is to provide the API key in the environment, the system prompt, or a config file that the agent can read. The agent holds the credential, uses it when needed, and you hope nothing goes wrong.

That hope-based security model has real failure modes:

  • Prompt injection attacks — malicious content in agent input that causes the agent to exfiltrate credentials
  • Log leakage — API keys showing up in conversation logs, trace outputs, or debugging data
  • Context window exposure — credentials visible in the full prompt, accessible to whoever can read that session
  • Scope creep — agents using credentials to do things they weren’t supposed to do

OneCLI’s solution: don’t give agents the real credentials at all.

How OneCLI Works

OneCLI operates as an HTTPS proxy that sits between your agent and the external APIs it calls. The architecture is simple:

Agent → HTTPS_PROXY=onecli → OneCLI Gateway → Real API

Your agent is given a placeholder credential — or no credential at all for some configurations. When the agent makes an outbound request, OneCLI intercepts it, looks up the real credential from its encrypted vault, injects it into the request headers, enforces your policy rules, and forwards the request to the actual API endpoint.

The real secret never touches the agent. It never appears in the prompt. It never shows up in your logs. It lives in OneCLI’s AES-256-GCM encrypted vault and is only injected at the network layer, per-request, after policy enforcement.

What’s New in v1.42.0

The July 23, 2026 release focuses on production readiness:

  • Per-connection agent access controls — different agents can be granted different credential scopes. Your read-only research agent doesn’t need access to the same credentials as your write-capable deployment agent.
  • Policy engine improvements — refined matching for host/path patterns, better composition of allow/block rules
  • Security fixes — unspecified hardening, per the release notes

The core capabilities that make OneCLI useful were already present in earlier releases; v1.42.0 extends them into territory that enterprise-grade deployments require.

Key Features

Block endpoints at the network layer — You can define which API endpoints any agent can access. DELETE /repos, POST /payments, any path you want restricted. OneCLI enforces the block at the proxy level, outside the agent and outside the LLM. Whatever the model decides, the proxy enforces your rules deterministically.

Rate limiting per agent — Cap how many requests an agent can make per minute, hour, or day. If your agent hits a retry loop and starts hammering an external API, OneCLI stops it before you get an invoice surprise or a rate-limit ban.

Approval workflows — Flag sensitive operations for human review before forwarding. The agent submits the request; OneCLI holds it until a human approves or rejects.

Audit logs — Every proxied request is logged with enough detail to understand what your agents were doing. When something goes wrong, you have a forensic trail.

Web dashboard — Visibility into request history, policy configuration, and agent activity without touching the CLI.

Installation and Setup

OneCLI is built in Rust, open-source under Apache 2.0, available at github.com/onecli/onecli, and documented at onecli.sh.

Important: For exact installation commands — whether Docker, binary download, or cargo install — refer to the official OneCLI documentation and the GitHub repository README. Installation steps evolve with releases; the commands current at time of writing may differ from what’s current when you’re reading this.

The general integration pattern, once installed, involves:

  1. Set up the vault — add your real credentials through the OneCLI dashboard or CLI
  2. Configure policies — define which agents can access which endpoints
  3. Set HTTPS_PROXY in your agent’s environment to point at your OneCLI instance
  4. Run your agent — it calls APIs through OneCLI transparently

The proxy approach is deliberately transparent: any agent that supports HTTPS_PROXY (which is most of them, including Claude Code and OpenClaw) can use OneCLI without code changes.

OneCLI and OpenClaw

For OpenClaw specifically, the HTTPS_PROXY environment variable approach should work with OpenClaw’s external API calls, since OpenClaw’s underlying Node.js runtime respects standard proxy environment variables. However, verify this against your specific OpenClaw version and configuration — some tool calls may bypass environment proxy settings depending on implementation details.

OneCLI specifically mentions coverage of “MCP tool calls, CLI commands, curl, and the code it writes” — which covers most of OpenClaw’s outbound surface.

For Bitwarden and 1Password integration (mentioned in OneCLI’s official documentation), refer to the onecli.sh documentation for the current setup steps.

The “Agents Never See a Real Key” Architecture

The philosophical point is worth dwelling on. The security model shift OneCLI represents is from:

“Trust the agent to handle credentials responsibly”

to:

“Don’t give the agent credentials at all; enforce at the network layer”

This is a meaningful architectural upgrade for production agentic systems. As agent pipelines grow more complex — sub-agents spawning sub-agents, tools calling other tools — the attack surface for credential leakage grows proportionally. OneCLI’s proxy layer doesn’t scale with that complexity; it addresses the problem at the network level regardless of how complex the agent graph becomes.

That’s a strong guarantee for an Apache 2.0-licensed, Rust-built, YC-backed tool in public development.

Sources

  1. OneCLI Official Site
  2. OneCLI GitHub Repository
  3. Hacker News Thread #49023427
  4. Blog: Why an MCP Gateway Isn’t Enough (OneCLI)

Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260723-2000

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