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AgentLed

Your AI team, supervised

AI does the work.Your team stays in control.

Choose an agent. Connect your tools. Review only what needs your eyes.

Choose an agent to get started

Works with
Claude CodeCodexOpenClawHermesGrok BotGrok Bot
Can be managed by your agents.
AgentLedGTM Operator
Try GTM Operator

Supervised run

Operations leaders · first outreach

Explore GTM
Email draftProduct preview

ToMaya · Northstar (sample)Outlook

Subject

Less list cleanup, more useful conversations

Hi Maya,

I noticed Northstar is growing its operations team. When a prospect list arrives in Clay, does your team still piece together the context before reaching out?

We can help prepare a focused first email from that context, with your team reviewing it before anything is sent. Worth comparing notes?

Clay list + LinkedIn context

Sample fit: operations leader · team hiring · manual prospect research.

Draft held for human approval · not sent

Run history

  1. Clay list imported
  2. LinkedIn context matched
  3. Email held for review

Any service through unified credits

LinkedIn logoLinkedInWaalaxy logoWaalaxyHunter.io logoHunter.ioAffinity CRM logoAffinity CRMSalesforce logoSalesforceHubSpot logoHubSpotPipedrive logoPipedriveGmail logoGmailOutlook logoOutlookSlack logoSlackNotion logoNotionCrunchbase logoCrunchbaseApollo logoApolloClearbit logoClearbitSpecter logoSpecterGoogle Analytics logoGoogle AnalyticsStripe logoStripeGitHub logoGitHubGoogle Calendar logoGoogle CalendarLinkedIn logoLinkedInWaalaxy logoWaalaxyHunter.io logoHunter.ioAffinity CRM logoAffinity CRMSalesforce logoSalesforceHubSpot logoHubSpotPipedrive logoPipedriveGmail logoGmailOutlook logoOutlookSlack logoSlackNotion logoNotionCrunchbase logoCrunchbaseApollo logoApolloClearbit logoClearbitSpecter logoSpecterGoogle Analytics logoGoogle AnalyticsStripe logoStripeGitHub logoGitHubGoogle Calendar logoGoogle Calendar
Twitter/X logoTwitter/XMedium logoMediumWordPress logoWordPressZapier logoZapierWebhooks logoWebhooksHTTP/REST logoHTTP/RESTGoogle Sheets logoGoogle SheetsAirtable logoAirtableMicrosoft Teams logoMicrosoft TeamsGoogle Trends logoGoogle TrendsWeb Scraper logoWeb ScraperPuppeteer logoPuppeteerClaude AI logoClaude AIGPT logoGPTGemini logoGeminiMistral logoMistralDeepSeek logoDeepSeekComposio logoComposioTwitter/X logoTwitter/XMedium logoMediumWordPress logoWordPressZapier logoZapierWebhooks logoWebhooksHTTP/REST logoHTTP/RESTGoogle Sheets logoGoogle SheetsAirtable logoAirtableMicrosoft Teams logoMicrosoft TeamsGoogle Trends logoGoogle TrendsWeb Scraper logoWeb ScraperPuppeteer logoPuppeteerClaude AI logoClaude AIGPT logoGPTGemini logoGeminiMistral logoMistralDeepSeek logoDeepSeekComposio logoComposio
From goal to result

Your agent turns goals into results you can review

agentled.app / Lead Generation

Lead Generation

Active
Owner
Lead Research Agent
Updated
Just now
Open

Goal

Build a reviewable list of 5 AI operations companies in Spain.

Next action

Review 3 qualified leads before preparing outreach.

  1. Find

    Complete

  2. Qualify

    Current

  3. Prepare

    Upcoming

  4. Operate

    Upcoming

Leads

Northstar Ops

Review reply

Replied
Provider
CRM

Juniper Labs

Await reply

Contacted
Provider
CRM

Orbit Systems

Qualify

New
Provider
CRM

Relay Works

Review outreach draft

Qualified
Provider
CRM

Cedar AI

Qualify

New
Provider
CRM
Side by side

Your agent alone vs.
your agent + AgentLed.

Your AI agent can reason, code, and plan. AgentLed gives it the working layer: managed agents, email and team channels, any service it needs, durable memory, supervised workflows, approvals, monitoring, and ROI.

CapabilityAgent aloneAgent + AgentLed
Tools, channels, and credits
Your agent can suggest the workflow, but you still assemble API keys, auth, rate limits, subscriptions, and vendor bills.
Any service your agent needs through one credit pool, one workspace, and one bill.
Managed agents and workflows
The agent writes scripts or drafts. Agent identity, inboxes, schedules, retries, state, and handoff remain your problem.
The agent deploys managed agents and supervised workflows with cache, retries, approvals, and managed heartbeats.
Business memory
Context windows reset. The agent loses ICP rules, scoring rubrics, prior approvals, and outcomes.
Knowledge Graph stores entities, scores, approvals, decisions, and outcomes across every run.
Channels
Drafts, Slack alerts, WhatsApp follow-up, and customer threads stay scattered across tools.
Agent inbox, agent email, Slack/WhatsApp notifications, and customer-facing handoff live in the workspace.
Approvals
Approvals happen in chat. No durable record of who approved what or why.
Approval queues pause sensitive actions before sends, CRM updates, publishing, or customer-facing work.
Monitoring
Terminal logs. You become the audit trail and reconstruct failures manually.
Run history, step inputs/outputs, exceptions, credit use, and owner actions are traceable.
ROI portal
ROI is a spreadsheet you update later, detached from the workflow runs.
Portal shows credits, tokens, hours saved, cost avoided, pipeline influenced, and review outcomes.
Read the CLI docs
How It Works

Connect your agent.
Give it a real job.

01

Connect

Install AgentLed in Claude Code, Codex, or any MCP agent.

02

Set the goal

Describe the outcome. AgentLed builds and runs the workflow.

03

Approve & improve

Review sensitive actions. Feedback becomes memory.

Agent channels

Your agent gets an inbox, an email address, and a seat in your channels.

Give agents managed channels for replies, alerts, and handoffs. Every email, Slack alert, and WhatsApp escalation stays attached to the workflow run that created it.

agentled.app / agent inbox

Growth Agent

growth@company.agentled.ai

Email

agent@company.agentled.ai

3 replies need review

Slack

#sales-ops

Daily run summary posted

WhatsApp

Agency owner alerts

Qualified reply escalated

Unified agent inbox

Live

Founder reply

Asked for revised pricing after SEO preview

Owner review

Slack alert

Outbound workflow found 5 high-intent accounts

Auto-posted

WhatsApp note

Client approved full GBP report

Create task
agentled.app / approvals and ROI

Approval queue

Send 12 personalized founder follow-ups

Email · waits for owner

Approve

Update CRM stage for 5 qualified accounts

HubSpot · waits for owner

Review

Low-confidence investor fit score

Deal flow · waits for owner

Escalate

Deployment ROI

Hours saved

84

Cost avoided

$12.4K

Pipeline influenced

$38K

Approval rate

91%

Approvals, monitoring, ROI

Let agents act, but keep the business in control.

Sensitive actions pause before they hit customers or systems of record. Owners approve, exceptions are tracked, and ROI stays visible from the same portal.

What Teams Build

Teams are building managed agents with AgentLed.

Examples of managed agent workflows being built and deployed with AgentLed. The agent gets the goal; AgentLed supplies managed agents, workflow runtime, tools, memory, approvals, monitoring, and the ROI portal.

Inovexus — VC Managed Agents

inovexus.com
Inovexus — VC Managed Agents logo

Client goal

“Help our investment team source, score, and match companies with the right investors or mentors while the system remembers every decision.”

Workflow deployed

Inovexus is deploying managed AI agents with AgentLed to support startup sourcing and investor matching. Agents monitor deal channels, score companies against the investment thesis, recommend relevant investors or mentors, and generate approval-ready reports so the team keeps control while every decision is remembered.

Outcome

Pilot deployment in progress across startup sourcing, thesis-based scoring, investor recommendations, and approval-ready reports.

Managed agents being deployedInvestor recommendations with memoryApproval-ready reports
Connected tools
affinitylinkedinspectermistralknowledge-graphemailweb-search

Agwanet — Agency SEO Workflow

agwanet.com
Agwanet — Agency SEO Workflow logo

Client goal

“Turn our local SEO consulting offer into a repeatable Google Business Profile lead-gen workflow.”

Workflow deployed

Agwanet used the AgentLed CLI to build and run a Google Business Profile lead-gen workflow for local-business SEO leads. The agent generates a preview report, queues teaser outreach, gates the full report after payment, and creates an upsell path into the agency's SEO services. Agwanet is now connecting AgentLed into Hermes so its own agent can deploy new AI integrations, trigger SEO workflows, and monitor results.

Outcome

First workflow running in one day, with payment-gated reports and an upsell path into agency services.

First workflow live in one dayGoogle Business Profile lead-gen workflowHermes integration started
Connected tools
hermesgoogle-business-profileemailwhatsappknowledge-graphwhite-label

These are two examples. More clients are building custom AgentLed deployments with connected tools, private data, approval gates, and integrations across their existing stack.

CLI + credits

One CLI install. One credit budget.

Install AgentLed once and your agent can spend credits on research, models, extraction, public forms, reports, and Knowledge Graph memory. Start with 300 free credits; Pro and higher add durable workspace memory and monthly credit tiers.

CapabilityCreditsWhat you'd need otherwise
Connect Claude Code, Codex, or MCP agent0AgentLed logoManual MCP config and auth
Research an account or lead list3–10LinkedIn logoLinkedIn, data APIs, spreadsheets
Draft approval-ready emails or replies10–30OpenAI logoOpenAI / Claude API billing
Inspect or extract from a website2–10Firecrawl logoApify / Firecrawl setup
Public form intake for new jobsIncludedTypeform logoTypeform plus webhook glue
Generate a client-facing report10–40Google Docs logoDocs, dashboard, and reporting stack
Knowledge Graph memory read/write (Pro+)1–2PostgreSQL logoCustom database and retrieval logic
Usage transparency

Prioritize tokens for high-ROI work.

Every run is attributed by model, app, workflow step, and agent so teams can allocate monthly-plan credits against hours saved, operating cost avoided, or revenue unlocked.

Plan credits allocated

8,420

Runs

126

agentled.app / usage attribution

Token drivers · Current refresh cycle · Jun 1-Jul 1, 2026

ROI view: 84 hours saved · $12.4K cost avoided · $38K pipeline influenced

Models

OpenAI logo

GPT-5.5

openai

2,380 cr · 74 runs

Anthropic logo

Claude Opus

anthropic

1,840 cr · 31 runs

Google logo

Gemini 3 Pro

google

940 cr · 52 runs

Mistral logo

Mistral Small 4

mistral

280 cr · 9 runs

Apps with attribution

LinkedIn logo

LinkedIn

Profile enrichment

1,260 cr · 42 runs

Firecrawl logo

Firecrawl

Web extraction

890 cr · 36 runs

WhatsApp logo

WhatsApp

Personal follow-up

520 cr · 28 runs

KG Memory

Read and update

410 cr · 96 runs

Steps

Match ICP

Account fit

1,680 cr · 18 runs

Read Signals

Recent context

1,320 cr · 42 runs

Write Touch

Personalized

980 cr · 34 runs

Save Memory

Next action

620 cr · 32 runs

Agents

Warm ICP SEO

Finds best-fit leads

1,480 cr · 16 runs

Signal Scout

Reads buying triggers

1,120 cr · 24 runs

Content Manager

Writes 1:1 assets

760 cr · 18 runs

Reengagement Lead

Remembers next step

520 cr · 37 runs

Free credits are for first supervised runs. Pro includes Knowledge Graph memory; plan limits come from credit volume, workspaces, members, snapshots, and support level.

Knowledge Graph

Agents that remember,
learn, and improve.

Your agent uses workflows behind the scenes — and persistent memory to get smarter over time. Two layers:

◆
Business-level memory— company context, ICP definitions, scoring models, workflow outcomes. Shared across all workflows and users. One workflow learns it, every workflow benefits.
◆
User-level context— individual preferences, conversation history, personal patterns. Your agent remembers how you work, not just what the company knows.

Not just automation — a system that gets smarter with every run.

Learn more about Knowledge Graph

Knowledge Graph

847 entities · 2,340 relationships

Live

Recent Activity

Scored 43 investors — DMF avg 7.22m ago
IC outcome: prediction matched 89%1h ago
12 new leads enriched + stored3h ago
Sector feedback updated (fintech)6h ago

Compound Learning

Run 1
62%
Run 5
78%
Run 12
89%

Investor scoring accuracy improving with each execution

n8n / ZapierAgentLed
Remembers last run✗✓
Cross-workflow memory✗✓
Compound scoring✗✓
Prediction vs outcome✗✓
Learns from results✗✓
One API key for any service✗✓

Every other tool starts from zero.

n8n runs the same workflow with no memory of previous results. Custom scripts need you to build and maintain your own database.

AgentLed's Knowledge Graph stores every insight, score, and outcome automatically. Each run compounds on the last. After 12 runs, our investor scoring went from 62% to 89% accuracy — with zero manual tuning.

See how it works

Managed agents that keep working.

NEW — Agent orchestration

Define the agent, give it email and team channels, connect tools, and set the approval rules. It can run on demand or on a heartbeat, then bring customer-facing actions back to your team before anything sensitive ships.

AGENTS.md→SOUL.md→Tools→Workflows→Heartbeat

Deal Sourcing Agent

Human-supervised · heartbeat: every 48h

Running — 3 workflows

Connected workflows

  • ✓ deal-sourcing-specter
  • ✓ deal-sourcing-linkedin
  • ✓ daily-deal-flow
Agent chat

Agent

Found 8 new deals this week. 2 need your review.

CLI-started jobs

Example jobs.
Start from the CLI.

Ask your agent to start from a job template, then change the steps, approvals, forms, and outputs until it fits your business.

FAQ

Questions teams ask before starting

What is AgentLed?

AgentLed gives Claude Code, Codex, Hermes, OpenClaw, or any MCP agent a managed workspace: CLI setup, email and chat channels, tools, credits, approvals, memory, monitoring, and client-ready outputs.

How do I connect my agent?

Run npx @agentled/cli setup or copy the install prompt from the homepage into your agent. It connects AgentLed to Claude Code, Codex, Hermes, OpenClaw, Cursor, Windsurf, or any MCP-compatible client.

What can I run with 300 free credits?

They let you connect an agent and run first supervised jobs before adding a paid plan. Credits are the budget your agent spends on model calls, enrichment, web extraction, report generation, and memory actions.

What does AgentLed remember for my agent?

No. Knowledge Graph memory is available on Pro and higher. Pro is limited by one workspace, two members, two snapshots per workflow, and the selected monthly credit tier; Teams adds more workspaces, unlimited members, more snapshots, and priority support.

Do I have to approve every action?

No. You set the rules: routine research, drafts, enrichment, and checks can run without review; trusted repeat sends can use delegated approval; sensitive or exceptional actions pause for a human.

Can this support client-facing workflows?

Yes. AgentLed can expose public intake forms, approval-ready outputs, and white-label client reports or portals. Advanced branding, domains, SLA, and rollout support live in higher plans.

How much does AgentLed cost?

Start with 300 free credits. Pro starts at €23.90/month for 2,000 credits and includes CLI/MCP access and Knowledge Graph memory. Teams starts at €86.90/month for 7,000 credits with unlimited members. Custom adds enterprise controls and delivery support.

Put your agent to work. Your team stays in control.

Start with 300 free credits.

Get started free