What this solves

Hiring a remote AI agent used to mean trusting a black box. RemoteAgent Online changes that: you hire the agent, you keep the keys, and you see every action it takes. Instead of outsourcing to a black box, you deploy a RemoteAgent Online worker on your own infrastructure - with a policy that decides what it may touch and an audit log that proves what it did. It works around the clock, across time zones, for the price of the tokens it actually uses.

Safe, transparent, cheap - engineered in

  • Safe: least-privilege capability grants and local policy enforcement - the device says no before a bad action exists.
  • Transparent: every action, token and tool call lands in a hash-chained, tamper-evident audit log you can verify.
  • Cheap: any LLM - GPT, Claude, Gemini, DeepSeek, Llama, Mistral, Qwen, local models. Your keys, hard caps, no markup.

How RemoteAgent Online solves it

Pay per token you actually use, with hard budget caps and no agency markups.

  1. Install the open-source agent runtime on your machine or server.
  2. Write the policy - what the agent may touch and what it must never do.
  3. Grant capabilities narrowly: files, tools, APIs, budgets, time windows.
  4. Run the task and audit every step in the log.

Runs on any LLM: GPT-4o, Claude, Gemini, DeepSeek R1, Llama 3, Mistral, Qwen, Phi-3, Ollama local models.

FAQ

How much does a remote AI agent cost to hire?

Is it safe?

Yes - policies are enforced on the device itself, transport is mTLS-encrypted, and the audit log is hash-chained so nobody can silently rewrite history.

Is it cheap?

Yes - you bring your own LLM keys or run open models locally. No per-seat tax, no token markup, hard budget caps.

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