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AgentLed

AgentLed gives MCP-compatible AI agents managed workflows, tools, communication channels, persistent memory, approval gates, monitoring, unified credits, and ROI reporting.

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Product overview

What is AgentLed?

AgentLed is a managed workspace that gives capable AI agents the operational layer needed to perform business work. It connects agents such as Claude Code, Codex, Hermes, OpenClaw, and other MCP-compatible clients to email, team channels, external services, persistent memory, supervised workflows, approvals, monitoring, and ROI reporting. The product is designed to let an agent take action while sensitive operations remain under human control.

An AgentLed agent can receive an inbox and email address, post alerts or handoffs through Slack and WhatsApp, use connected business services through a unified credit system, and keep business context in a Knowledge Graph. Workflows can run on demand or on a heartbeat. Actions such as sending messages, updating a CRM, publishing content, or other customer-facing work can pause in an approval queue before they affect an external system.

How to Use AgentLed

  1. Connect AgentLed to Claude Code, Codex, or another MCP-compatible agent.
  2. Describe the business outcome; AgentLed builds and runs the managed workflow.
  3. Review sensitive actions and provide feedback, which becomes persistent memory for later runs.

Core Features

  • Managed agents and workflows: Provides agent identity, schedules, retries, state, handoffs, managed heartbeats, and supervised execution.
  • Tools and unified credits: Connects agents to business services through one workspace, API key, credit pool, and bill.
  • Persistent Knowledge Graph: Stores entities, scores, approvals, decisions, outcomes, company context, and user preferences across runs.
  • Communication channels: Gives agents inboxes, email addresses, Slack or WhatsApp notifications, and customer handoff paths.
  • Human approval gates: Pauses sensitive sends, CRM updates, publishing, and customer-facing actions for review.
  • Monitoring and ROI: Tracks run history, inputs, outputs, exceptions, credit use, owner actions, hours saved, costs avoided, and influenced pipeline.

Use Cases

  • Lead discovery and outreach: Find and qualify prospects, prepare reports and messages, and hold outreach for approval.
  • Investor sourcing: Monitor deal channels, score companies, recommend investors or mentors, and prepare reviewable reports.
  • SEO and content workflows: Generate reports or content, coordinate publishing, and connect follow-up across business tools.
  • Email and operations automation: Triage messages, draft replies, enrich data, monitor competitors, and escalate exceptions.

Pricing

AgentLed starts with 300 free credits. The official site lists Pro at €23.90 per month for 2,000 credits, Teams at €86.90 per month for 7,000 credits and unlimited members, and custom Enterprise pricing. Credits are shared across the workspace rather than charged per seat.

Frequently Asked Questions

Which AI agents work with AgentLed?

The site names Claude Code, Codex, Hermes, OpenClaw, Cursor, Windsurf, and other MCP-compatible clients.

Do sensitive actions run automatically?

They can be configured to pause in an approval queue before messages, CRM changes, publishing, or customer-facing work is executed.

Does AgentLed retain context between runs?

Yes. Its Knowledge Graph stores business and user-level context, decisions, approvals, and workflow outcomes across runs.

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