Let your AI agent take real actions — without losing control

Email. Git. Slack. Google Drive. Your agent can operate in the real world — with permissions, approvals, and full visibility over everything it does.

AgentBlocks is an access control and approval layer for AI agents — so they can safely send emails, push code, and take action in your tools without going rogue.

AI agents are powerful. Uncontrolled agents are a risk.

Today's tools give agents access to your inbox, your codebase, your files, and your APIs. But they don't give you control over what happens next.

Without guardrails, agents:

Spam messages in loops
Delete the wrong data
Push bad code
Act without context

Not because they're "bad" — but because they lack permissions, oversight, and constraints.

AgentBlocks gives you:

Access control per capability
Human-in-the-loop approval workflows
Deterministic rules engine
Execution boundaries & rate limits

Your rules. Your agent's hands.

AgentBlocks adds the missing layer.

How it works

1

Add AgentBlocks to your agent

Paste a simple instruction into your agent. It instantly understands what actions it can take and how to request them.

No complex setup. No custom integration work.

2

Your agent requests an action

When your agent wants to send an email, push code, or message Slack — it sends a request to AgentBlocks. Nothing happens yet.

3

Your rules decide

Your system evaluates the request: auto-approve if it matches your rules, require approval if it doesn't.

4

Action executes safely

If approved, the action is executed, a scoped short-lived credential is issued, and everything is logged. Full visibility. No hidden behaviour.

agent-flow
// 1. Agent requests an action
$ POST /v1/email/send
subject: "Partnership opportunity"
// 2. Rules engine evaluates
rule: "new recipient → require approval"
→ status: pending_approval
// 3. You approve (email / Slack / WhatsApp)
→ approved by [email protected]
// 4. Action executes
Email sent. Credential revoked. Event logged.

Approve, reject, or automate entirely

Approve or reject in one tap — via email, Slack, or WhatsApp. Or define rules so your agent can act without interrupting you.

Click each scenario below to see how the rules engine handles it.

AB

AgentBlocks

Your agent wants to send an email

From: [email protected]

To: [email protected]

Subject: Partnership opportunity — Q3 campaign

Preview:

Hi Sarah, I came across Acme's recent product launch and wanted to reach out about a potential partnership for your Q3 campaign. Would you be open to a quick call this week?

You can setup auto-acceptance rules on the website.

10:32
+
Message

One control layer for everything your agents do

Every action follows the same model: request → decision → execution.

Human-in-the-loop approvals

Review and approve actions via email, Slack, or WhatsApp.

Deterministic rules engine

Define rules that auto-approve, require approval, or block.

Your credentials stay safe

Actions execute on our servers — your tokens and secrets are never exposed to the agent.

Rate limits

Cap actions per agent, per capability, per time window.

Full audit trail

Every request, decision, and execution is logged.

Works with everything

Claude, OpenAI, custom agents, internal tools. No lock-in.

Give your agent real capabilities — safely

One instruction. One API key. Your agent handles the rest.