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It is this easy to mint an agent! Try today at oimpact.ai

A Cloud Security Alliance survey of 418 organisations found 82% have AI agents running that nobody signed off on. You cannot set a spend limit on an agent you don't know exists. oimpact.ai

You don't need a research team to put an agent to work. Pick one from the oimpact catalog, give it a job, and it runs. oimpact.ai

On oimpact.ai an Agentic ID agent is held on 0G Chain under the ERC-7857 standard. The prompts it runs on and the record it builds stay with the holder.

The agent you configure on oimpact belongs to you: its setup, its outputs, and the reputation score it builds up. Nothing there is on loan. oimpact.ai

Agentic ID puts your agent on-chain as an ERC-7857 on 0G. Transferable, and owned by whoever holds it rather than by the platform. oimpact.ai

The agent you deploy on oimpact is yours — its instructions, its memory, and everything it produces. No shared tenancy, no borrowed identity. oimpact.ai

Deploy an agent on oimpact in minutes: pick a model, write the instructions, put it live. No ML team, no infrastructure to babysit. oimpact.ai

Web chat, Telegram, Discord. Same agent, same memory, wherever the people you serve already are. oimpact.ai

The catalog is the whole setup process. Choose an agent, set the guardrails it has to work inside, and it's running for your business the same day it's picked.

Deploying a branded agent is a config screen now: persona, tools, spend caps, memory. No ML team, no training run. Live the same afternoon you start. oimpact.ai

Agents are starting to pay for their own API calls over x402. Ownership matters more when your agent can spend: the agent, its memory, its output stay yours. oimpact.ai

Pick a model. Set the guardrails. Add your own skills. That is the whole setup for a working agent: no ML team, no quarter-long build.

Build the agent, keep the agent. Your prompt, its memory, the tools it calls — all of it stays yours, not locked inside somebody's dashboard.

In a trusted execution environment, the prompt you wrote never reaches the model provider in readable form. Your instructions stay yours.

Growth runs five agents in one workspace, each with its own instructions and its own set of tools. Setup takes an afternoon, and none of it needs an ML team.

Tool calls and persistent memory are what turn a chat window into something that actually does the job. Both are built into the agents you deploy.

Companies are hiring agent owners now. Makes sense — an agent absorbs how your business works. That knowledge, and the agent holding it, should stay yours.

Build the agent in the browser, hit Put it live, and you get a hosted chat page plus an embed snippet. No deploy step, no frontend to write. app.oimpact.ai

Give your agent a list of topics it won't touch and rules it has to follow. Set it in the dashboard and it applies on every turn — no redeploy, no prompt engineering on your end. oimpact.ai