Turn the prompt into roles, questions, and a package.
TWO WAYS TO START
Web creation and local creation stay clearly separated.
Non-developers create and save in Agentlas Cloud. Developers use Hephaestus locally, scan the package, then sync only after approval.
No-Code OptionWeb Builder
Start in the browser in 3 minutes- Build agents in the browser without installing anything
- Answer missing details via simple questions
- Save directly to your secure Agentlas Cloud vault
Developer OptionHephaestus Plugin
Build and run locally on your PC- Integrate with Hephaestus CLI and your local codebase
- Scan local directories for leaked keys and scripts
- Sync with Cloud repository only when you approve
HOW IT WORKS
Build → Save → Call → Publish.
The fast creation loop becomes an Agentlas portable-agent loop.
Keep the private package in Agentlas Cloud.
Use it from Hephaestus, Claude Code, Codex, or any MCP client.
Put only a clean, memory-free copy in the Hub.
Private agents + memory sync
Your agents and working memory stay private. Raw credentials, tokens, and cookies do not belong in the Cloud package.
Call-only discovery
Public agents are used through MCP calls first, not source downloads. The creator's source and private memory stay protected.
Report before run or publish
This is risk detection and blocking before execution, not a promise of perfect safety. Secrets and unsafe instructions are reported first.
START FROM A REAL WORKFLOW
Not a chatbot demo. A recurring work package you can review and run.
A single draft is not the hard part anymore. Agentlas is for the next layer: the same work coming back every week, your standards staying intact, and only the decisions that need a human rising to the top.
Chatbot
Paste one product and it can draft a page, caption, or reply.
- One product page
- Caption ideas
- Support reply draft
Typical builder
You can make a bot, but each launch still needs setup, channel splitting, and cleanup.
- Reset every launch
- No shared standards
- No pre-upload review
Agentlas
A coordinator, product copy, ad, review, and support agents prepare one brand-safe launch kit.
- Page + social + ads
- Tone and banned words
- Upload checklist
Hephaestus
Build an agent. Run it anywhere.
A single command builds, registers, and executes your agents—right inside your editor or terminal. Fully audited, model-agnostic, and open-source with no lock-in.
/hephaestus "…"what it doesBuild, package, or repair autonomous agents and multi-agent teams using simple natural language.
/hephaestus "create a multi-agent team that automatically writes and tests React components"/hephaestus-network "…"what it doesInvoke specialized agents from the global registry directly within your active AI editor.
/hephaestus-network "find and run a secure smart contract auditor for my Solidity file"/hephaestus-cloud "…"what it doesExecute your private, cloud-hosted agent workflows at a predictable 1-credit flat rate.
/hephaestus-cloud "summarize this repository's open issues and generate a weekly report"
cloud = 1 credit · network = per-agent price · local = free
hephaestus "…"what it doesResolve complex tasks by routing them to the best-suited agent across local, cloud, or Hub registries.
hephaestus "audit this python script for memory leaks"hephaestus route "…" --hub-only|--scope cloud|--no-hubwhat it doesLimit agent routing scopes to protect local data privacy and manage API token budgets.
hephaestus route "convert this figma link to HTML" --scope cloudhephaestus cloud "…"what it doesDispatch prompts exclusively to your private cloud agents for secure, isolated execution.
hephaestus cloud "run my custom deployment pipeline agent on branch main"hephaestus network init|status|reindex|benchwhat it doesMeasure response latency and update the local registry index of available network agents.
hephaestus network benchhephaestus mcp servewhat it doesTurn the local routing engine into an MCP tool server for Claude Desktop, Cursor, or VS Code.
hephaestus mcp serve
hephaestus meta-agent "…"what it doesGenerate a complete agent blueprint and directory structure directly from a text description.
hephaestus meta-agent "a node vulnerability scanner that generates markdown reports"hephaestus wizard <folder> --name <n>what it doesBundle any directory of scripts into a portable, standardized Agentlas package.
hephaestus wizard ./my-agent --name code-janitorhephaestus security scan <folder> --strictwhat it doesRun local static audits on agent packages to prevent malicious file writes or unauthorized egress.
hephaestus security scan ./dist-agent --stricthephaestus runtime bundle <folder>what it doesCompile source folders into zero-dependency, runtime-agnostic execution bundles.
hephaestus runtime bundle ./src/my-agenthephaestus plugins resolve "…"what it doesAuto-discover and install the precise MCP plugins an agent requires to interact with external tools.
hephaestus plugins resolve "github, postgres"
hephaestus ontology --guiwhat it doesOpen a visual 3D dashboard of the knowledge base nodes and relations your agents rely on.
hephaestus ontology --guihephaestus ontology add <path> --kind --scopewhat it doesFeed document corpora into the central knowledge base for agent retrieval and source citation.
hephaestus ontology add ./docs/api --kind documentation --scope team
hephaestus auth login|status|logoutwhat it doesLog in or manage active developer sessions with the central Agentlas Hub registry.
hephaestus auth loginhephaestus doctorwhat it doesAudit local environment variables, permission scopes, and language runtimes for immediate diagnostic reports.
hephaestus doctorhephaestus update --checkwhat it doesPull the latest Hephaestus binary and security updates without breaking existing integrations.
hephaestus update --checkhephaestus field-testwhat it doesRun sandbox simulations of installation, task execution, and system cleanup to verify agent integrity.
hephaestus field-test
Stormbreaker Scorecard
Flawless execution. A robust control layer that prevents coding agents from drifting.
Hephaestus Stormbreaker is more than a model or a tool for chasing benchmarks. Powered by a six-stage pipeline—including scope locking, failure memory, and verifier-first planning—it serves as the core execution engine for maximizing agent stability and reliability.
View stability evalMacro operational robustness99.26
- 01Scope lock
- 02Failure memory
- 03Verifier-first plan
- 04Evidence loop
- 05Review gate
- 06Final proof
ScorecardGPT 5.5NetworkStormbreaker
Macro operational robustness76.4892.2299.26
Micro operational robustness76.6791.8598.52
Holdout operational robustness80.0091.67100.00
Stress operational robustness73.3393.33100.00
EXPLORE TEMPLATES
Grab an example. Make it yours.
HOW IT WORKS
You don't have to design an org. Just follow along.
Hire one at a time and a company takes shape. The hard setup is the Agent's job, not yours.
1Say it
“I need an Agent to run my Instagram.” One line is enough.
2Answer a few
Nothing technical. Just pick from the options.
3Your first Agent
One worker is ready. Put it to work right away.
4Add one more
Add Agents as you need them. Soon it's a team.
5It becomes a Team
Agents doing similar work group into a department.
6A multi-agent operating team
A coordinator ties the roles together, and the recurring workflow runs.
That Multi Agent setup you saw online and wondered how they built — follow along and it's yours too.
THE COST OF AI TRANSFORMATION
What does an ‘AI transformation’ actually cost?
Everywhere, someone offers to “transform you with AI” — consulting plus an outsourced agent build, usually thousands per project. Agentlas is one monthly subscription.
AX consulting · agent build-out$8,000–40,000 (one-off)
One full-time hire$2,300+/mo
AX agency retainer$1,500–4,000/mo
Agentlas$9–49/mo
Same ‘AI transformation’ — just with a few zeros removed. (Quotes vary by vendor.)
What's expensive is the consulting labor, not the AI. Agentlas takes that out and puts the build in your own hands. It isn't cheap — it's just the real price.
PRICING
Build first,
upgrade later.
upgrade later.
Every plan has every feature. The only thing that changes is how many credits land in your account each month.
AT A GLANCEFree → Pro → Max
Monthly prices. Full comparison lives on the pricing page.
FreeFree
$0no card
Every feature, free
No card needed.
- 150 on signup + 300 monthly credits
- Every AI feature
- Unlimited public profiles
RecommendedPro
$19per month
Build and ship weekly
For frequent builders.
- 7,300 monthly credits
- Every AI feature
- 4GB cloud storage
Highest volumeMax
$39per month
Build at company scale
When you're assembling teams all day.
- 15,000 monthly credits
- Every AI feature
- 20GB cloud storage
ABOUT US
An AI company of your own.
Not just for the experts.
Not just for the experts.
We built Agentlas so anyone can have an AI company that takes care of their own work.
Start with one sentence. It asks only what's missing, then hands you files you can actually use.
Narrow the AI gap
Make agents approachable for non-experts.
Build through questions
No perfect prompt required. Answer only what is missing.
Take the files with you
Save, download, and share when ready.
START SMALLOne sentence is enough.
Start my companyFAQ
Questions people ask before choosing Agentlas.
A short answer-engine-friendly guide to scope, security, and runtime questions for owners comparing AI transformation quotes.
BasicsWhat is Agentlas?
Agentlas is an AI agent builder that turns one plain work request into a whole agent team — not a single bot. It asks the missing questions, splits the work across agents, surfaces only what needs a human, and then helps you save, download, and share the finished package.
Multi-agentIs Agentlas a multi-agent framework?
Agentlas is not mainly a code-first orchestration framework. It is a builder and packaging layer for deciding what agents you need, what each one should do, what files should ship, and what should be reviewed before sharing.
OperationsHow is Agentlas different from code-first agent frameworks?
Code-first frameworks are best when a developer wants to design graphs, tasks, deployment, and runtime behavior directly. Agentlas starts earlier: describe the business outcome, answer a few questions, then get a portable agent package with roles, instructions, safety labels, and shareable profile copy.
SetupDoes Agentlas replace my existing business tools?
No. Agentlas does not claim to replace your accounting app, CRM, inbox, spreadsheet, or project board. It helps you define and review the agent team that will prepare work for those systems, then hands you a package you can run in the environment you control.
ChannelsIs Agentlas a messaging gateway for agents?
No. Agentlas focuses on creating, reviewing, packaging, and sharing the agents themselves rather than becoming the messaging gateway. Channel integrations should come later, once the role, safety review, and run environment are clear.
RuntimeDoes Agentlas run work on a hosted server 24/7?
Not today. The web app helps design and review the agent or team. Recurring work belongs in Agentlas Desktop or another local environment you choose, with your own AI accounts and local trust decisions.
BeginnerCan non-coders use Agentlas?
Yes. Agentlas begins with plain language and avoids asking for integration jargon, tokens, or API details before the user understands the job. When technical setup is needed, Agentlas can explain it and let the user defer what they do not know yet.
SecurityIs it safe to publish agents made with Agentlas?
Agentlas reviews sensitive details, risky settings, and public-sharing issues before an agent profile goes live. Public profiles are meant to show the agent structure, purpose, safety labels, and install guidance, not private secrets.
TeamWhat does Agentlas mean by an agent team?
An agent team is a coordinated workflow: one routing role plus several specialist agents. For an e-commerce workflow, that might mean a product copywriter, pricing scout, review analyst, and customer support writer working under one plan.
RuntimeCan Agentlas agents work with the AI tools I already use?
Agentlas is designed to produce portable agent instructions, skills, setup notes, and safety context that users can take into the AI runtime or local tool they already use.