The automation engine
built for AI agents.
100+ integrations. Persistent memory. One credit system. No bridges.
Try NowDeploy agents that run on a schedule, use 100+ integrations via one credit system, and remember every prior run through a persistent Knowledge Graph — then improve automatically on the next run.
Outbound-EU
SOUL
"Act like a senior SDR. Never spam. Qualify before reaching out."
Schedule
Every 48h — next run in 11h
Memory
847 contacts · 3 prior runs
Live Activity
Scored 43 leads from LinkedIn scrape
Sent 12 personalized emails via Gmail
Flagged 5 high-intent signals from news
Updated ICP scoring model
Next run scheduled
AI operates. You supervise.
NEW — Agent orchestration
Define your agent with AGENTS.md — its identity, tools, and workflows. Give it a soul via SOUL.md — tone, constraints, decision rules. Set a heartbeat schedule and let it run. Your agent executes sourcing, research, and outreach autonomously — then brings decisions back to you for approval.
Deal Sourcing Agent
Human-supervised · heartbeat: every 48h
Connected workflows
- ✓ deal-sourcing-specter
- ✓ deal-sourcing-linkedin
- ✓ daily-deal-flow
Agent
Found 8 new deals this week. 2 need your review.
Claude Code v2.0
Opus 4.6 · agentled-mcp-server connected
Let me check your Knowledge Graph and prior runs first.
✦ agentled kg:query "fintech CTOs Europe"
↳ ICP match: 847 contacts · last enriched 3 days ago
✦ agentled memory:recall "outbound-eu"
↳ 3 prior runs · 62% open rate · best channel: LinkedIn
Found relevant context. Creating a workflow using your best-performing patterns.
✦ agentled create "Lead prospecting for fintech CTOs in Europe"
✓ Workflow 1: Prospect Research linkedin · hunter · clearbit
✓ Workflow 2: Signal Detection crunchbase · web-scraper
✓ Workflow 3: Multi-Channel Outreach email · linkedin
43 leads scored · 5 high-intent · 38 outreach sent
Scheduled: every 48h · Credits: 720
→ agentled.app/your-team/fintech-cto-outbound
One Command,
Many Agentic Workflows.
Connect AgentLed to Claude Code, Codex, or any MCP client. Your agent gets access to 100+ integrations, persistent memory, and a unified credit system — no API keys, no bridges, no glue code.
Give your agent a goal.
It handles the rest.
Set the goal
Tell your AI agent what you want to achieve — in plain English. It reads your AGENTS.md and SOUL.md to understand your business context.
Agent builds the workflows
Your agent picks the right integrations, wires the logic, and sets a heartbeat schedule. You review and approve.
Agent runs and improves
Your agent executes on every heartbeat, learns from results, and refines the workflow after every run. You supervise.
Agents that remember,
learn, and improve.
Your agent uses workflows behind the scenes — and persistent memory to get smarter over time. Two layers:
Not just automation — a system that gets smarter with every run.
Learn more about Knowledge GraphKnowledge Graph
847 entities · 2,340 relationships
Recent Activity
Compound Learning
Investor scoring accuracy improving with each execution
| n8n / Zapier | AgentLed | |
|---|---|---|
| Remembers last run | ✗ | ✓ |
| Cross-workflow memory | ✗ | ✓ |
| Compound scoring | ✗ | ✓ |
| Prediction vs outcome | ✗ | ✓ |
| Learns from results | ✗ | ✓ |
| One API key for 100+ services | ✗ | ✓ |
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 worksOne API key. 100+ services.
No more juggling API accounts. Every integration runs on AgentLed credits.
| Capability | Credits | What you'd need otherwise |
|---|---|---|
| LinkedIn company enrichment | 50 | |
| Email finding (Hunter) | 5 | |
| AI analysis (Claude/GPT) | 10–30 | |
| Web scraping | 3–10 | |
| Image generation | 30 | |
| Video generation (8s) | 300 | |
| Knowledge Graph storage | 1–2 |
Start free. Pay only for what you use.
Your agent runs, learns, and improves.
Give your agent a goal. It builds the workflows, manages the execution, and gets better with every run.
VC Deal Scoring
The goal
“Score this deal and match it with our investors club.”
What your agent does
The agent built a 27-step workflow across LinkedIn, Specter, and Affinity. It enriches the startup profile, scores investor fit against the fund thesis, tracks predictions vs outcomes, and refines its own scoring model after every run. No manual tuning — the agent learns what a good match looks like.
SEO Agency — White-Label Branding
The goal
“Upsell our SEO audit to existing clients with a full competitive report.”
What your agent does
Once the approach is validated, the agent creates a full workflow: it searches each client's Google Business profile, scores their online presence, identifies their top local competitors, and generates a branded report. It then sends a personalized email with the report link and a pitch for a full audit — all under the agency's own brand.
Let's connect
Get updates on new features, templates, and AI workflow tips.
Get your free strategy review100+ integrations via unified credits
Get started fast
Start from a template.
Customize as you go.
Pre-built workflows for the most common use cases. Pick one, tell your agent what to change, and you are live.
Start wherever you are.
Scale when you're ready.
You don't need to commit to full automation on day one. Most teams start at L1 and reach L3 within 30 days.
Connect & run manually
Connect your first integration and trigger a workflow by hand. See exactly what the AI does on each step.
Start small. One workflow, one integration.
Schedule & review results
Set workflows to run on a schedule. You review the outputs before anything goes out. Full control, zero manual work.
AI runs it. You approve the results.
Agents chain together
Workflows trigger each other. Agents pass context, make decisions, and escalate exceptions to you only when needed.
The system handles the routine. You handle the exceptions.
AI-led operations
Full autonomous execution with a complete audit trail. You set the strategy — AgentLed runs it end to end.
You focus on the direction. AI handles the execution.
Not sure where to start? Book a strategy call — we'll map your first workflow in 30 minutes.
A new era of
business automation.
From AI-assisted workflow building to AI that operates your processes while humans supervise. AgentLed sets a new standard for how teams automate work.
100+ integrations through one credit system. Persistent memory via Knowledge Graph. Build from Claude Code, Codex, or any MCP client — no API key juggling, no bridges, no glue code.
FAQ
Questions teams ask before starting
Do we need engineers to launch workflows?
For most workflows, no. Agentled is designed for operations teams. For complex environments with custom security requirements, IT review may be needed, but the build itself does not require engineering.
How long until we see results?
Most teams launch their first production workflow in 2-4 weeks. Some simpler workflows go live in days. The timeline depends on scope and integration complexity.
What happens if a workflow step fails mid-run?
Agentled maintains deterministic state at every checkpoint. If step 14 of 20 fails, the system retries from step 14 with full context. No data is lost. No restart from scratch.
How is this different from n8n, Make, or Zapier?
Those tools are trigger-action chains without built-in AI reasoning, a knowledge graph, or shared business context. Agentled orchestrates multi-step workflows where an AI agent reasons, decides, and learns — with integrated model credits, parallelization, and team collaboration.
How is this different from using ChatGPT or Claude directly?
Prompt tools have no workflow state, no system integrations, no team visibility, and no calibration. Each conversation starts from zero. Agentled turns that one-shot interaction into a durable, improving, collaborative workflow.
Can we use Agentled to deliver results to our own clients?
Yes. White-label portals let your clients access reports, scores, and recommendations under your brand. Your clients see your company, not Agentled.
What models does Agentled use?
Agentled supports multiple models and routes to the best model for each workflow step. Document analysis, scoring, and text generation can each use different models. Model credits are included.
What happens to our data?
Your data is never used to train generalized AI models. Processing is scoped to your account. GDPR-compliant. Full audit trail. Export and data portability options are available.
What is AgentLed?
AgentLed is an AI-native workflow automation platform where AI agents own, manage, and improve workflows end-to-end. It provides 100+ integrations through a unified credit system, persistent memory via a Knowledge Graph, and runs natively with Claude Code, Codex, or any MCP client.
How much does AgentLed cost?
Pro starts at €23.90/month for 2,000 credits with a 7-day free trial. Teams starts at €86.90/month for 7,000 credits with unlimited members. Enterprise pricing is custom. Credits are shared across your workspace — no per-seat fees.
Is there a free trial?
Yes. The Pro plan includes a 7-day free trial with no credit card required. You get full access to all features including the MCP server, workflow builder, and 100+ integrations.
Does AgentLed work with Claude Code, Cursor, or Codex?
Yes. AgentLed is MCP-native. Run npx -y @agentled/mcp-server to connect any MCP-compatible client — Claude Code, Codex, Cursor, or Windsurf — and create, manage, and execute workflows directly from your AI coding environment.
What integrations does AgentLed support?
AgentLed supports 100+ integrations including LinkedIn, HubSpot, Salesforce, Slack, Notion, Gmail, Google Calendar, Crunchbase, Hunter.io, Apify, OpenAI, Anthropic, Gemini, Mistral, web scraping, HTTP requests, and more. All accessed via a single unified credit system.
Can I import my existing n8n workflow?
Yes. AgentLed has a built-in n8n import tool. Export your workflow from n8n as JSON and import it directly — AgentLed maps the nodes to equivalent actions and shows a preview before committing.
Is AgentLed open source?
The MCP server and CLI are open source and available on GitHub at github.com/agentled/mcp-server. The core platform is proprietary. You can self-host the MCP server while using the managed platform for workflow execution and storage.
Launch AI workflows for your clients
Your agent builds, runs, and improves the workflows. Your clients see the results under your brand.
npx @agentled/cli --setupagentled create "Outbound to fintech CTOs in Europe"