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Your AI workforce starts here

Build your AI agent workforce
by describing the team you want.

AI employees that finish your team's busywork while they sleep.

Describe what you need — a marketing agency, a sales team, a research desk — and OpenLegion puts a team of AI employees to work in minutes. Each agent gets its own budget and permissions, and your passwords and API keys stay in a vault agents can never see.

Runs 24/7 · Agents never see your passwords · No coding required

openlegion demo

From one prompt to a working AI team — watch it happen.

5 min
to your first agent running
LLM providers supported
24/7
agents work around the clock
$0
markup on LLM usage

From our customers

Real teams, running on autopilot

We were spending $2,800/mo on a lead-research VA team. Replaced the whole thing with five OpenLegion agents in three days. They run 24/7, never call in sick, and frankly do better research than the humans did.
Elena V.
Founder · Marketing Agency
I'm not technical at all. I wrote what I wanted in plain English — "follow up with leads who haven't replied in five days, sound friendly not pushy" — and the agent figured the rest out. Closed three deals this quarter from that one workflow.
David P.
Sales Coach · Independent
Two months in, the fleet runs our invoicing, content drafts, and customer research end-to-end. We saved enough on freelance hours to pay for Pro Max twice over. The hardest part was deciding what to automate first.
Amara O.
Head of Operations · Creative Studio

How it works

From one prompt to a full AI agent team

Describe the function you need. OpenLegion creates the agent stack, assigns roles, and gives each agent the controls it needs to work safely.

Content Studio

ResearchWritingBriefsDelivery

Sales Pipeline

Lead researchQualificationOutreachFollow-up

Deep Research

ScoutAnalystSynthesisCitations

Dev team

PMEngineerReviewer

Treasury team

ResearcherExecutorMonitor

Don't see your use case? Build any team with any combination of roles, tools, and budgets. Start building →

Use Cases

Which AI agent team do you need — sales, content, research, or engineering?

Pick a built-in multi-agent template or define your own autonomous agent fleet. Each agent gets its own container, budget, and tool permissions.

Your engineering team

OpenLegion's Dev Team template automates task planning, code generation, and PR review — the triage and boilerplate that eat hours of every engineer's week.

PMEngineerReviewer

Your sales team

OpenLegion's Sales Pipeline template runs lead research, scoring, and personalized outreach 24/7 — a full week of manual prospecting handled while you sleep.

ResearcherQualifierOutreach

Your content team

OpenLegion's Content Studio template pairs a researcher and a writer with consistent brand voice — research-to-draft cycles that take days land in hours.

ResearcherWriter

Your treasury team

Wallet-aware agents execute onchain — swaps, transfers, DeFi positions — while private keys stay locked in the vault and are signed server-side. Per-agent spend limits, daily caps, and EVM + Solana support.

ResearcherExecutorMonitor

Your custom team

Don't see your use case? Define any combination of roles, tools, and budgets. Agents get their own containers, credentials, and spending limits — whatever the job requires.

Any RoleAny ToolAny Budget

Features

Built for teams that can't afford things to go wrong.

The AI agent framework with security, cost control, and agentic automation baked in from day one.

AI agent security: your keys stay in a vault agents never touch.

Every agent calls through a credential proxy. API keys and wallet private keys never exist inside a container. Six independent security layers on by default.

How security works →

Set a budget per agent. They stop the moment they hit it.

Per-agent daily and monthly caps with automatic hard cutoff. No surprise bills. No runaway API loops at 3am.

How cost control works →

Fleet model coordination — you decide who does what.

Agents browse any website, operate any tool, execute onchain, run any task. MCP-compatible with built-in skills for browser, files, memory, wallet, and more. Fleet model — blackboard + pub/sub + handoff (no CEO agent) — with bounded execution and per-agent permission matrix.

How coordination works →

See all AI agent framework features including browser automation, persistent memory, MCP extensibility, and multi-agent coordination →

Fleet Dashboard

Monitor your AI agent fleet in real time

Every agent, every cost, every event — live. Chat with agents, monitor health, and track spend from one unified view.

Fleet Overview
Live
6 agents·$8.42 today·118,940 tokens

researcher

Lead Researcher

claude-sonnet-4-6

Online
Activitystreaming
Heartbeatevery 5m
Cost today$1.24

engineer

Code Engineer

gpt-4o

Online
Activitythinking
Heartbeatevery 10m
Cost today$3.87

reviewer

PR Reviewer

gemini-2.5-pro

Online
Activityidle
Heartbeatevery 30m
Cost today$0.56

writer

Content Writer

claude-haiku-4-5

Online
Activitytool
Heartbeatevery 15m
Cost today$0.18

qualifier

Lead Qualifier

deepseek-v3

Degraded
Activityidle
Heartbeatevery 20m
Cost today$0.42

outreach

Sales Outreach

mistral-large

Online
Activitystreaming
Heartbeatevery 5m
Cost today$2.15

This is your fleet, live.

Get started in minutes →

Security

AI agent security: built assuming agents will misbehave.

Defense-in-depth enabled by default. Six layers shown below.

01

Each agent runs in its own container

Docker containers or Docker Sandbox microVMs per agent — no shared process space.

02

Agents can't escalate privileges or consume your resources

Non-root user (UID 1000), no-new-privileges flag, memory and CPU resource limits enforced.

03

API keys and wallet keys live in a vault the agent never touches

Vault proxy holds API keys and wallet private keys — agents call through the proxy, never see secrets. Transactions are signed server-side.

04

Each agent only accesses what you explicitly allow

Per-agent ACL matrix controls which tools, files, and mesh operations are allowed.

All six layers explained in detail →

Built for serious workloads.

Self-hosted on-premises deployment, defense-in-depth credential isolation, deterministic audit trails, per-agent cost governance, and a per-agent permission matrix — all enforced by default. The engine is ~77,000 lines of Python with 5,800+ tests and a minimal dependency surface.

Self-hosted on-premisesDefense-in-depthDeterministic audit trailsBounded executionPer-agent cost governancePer-agent permission matrix
Book a demo

FAQ

Frequently asked questions

Do I need to be a developer to use OpenLegion?

No. The managed hosting at app.openlegion.ai requires no coding — sign up, pick a template, add your LLM API key, and your agents are live in minutes. The self-hosted version requires Python 3.10+ and Docker. Either way, the built-in team templates (Dev Team, Sales Pipeline, Content Studio) work out of the box with no configuration needed.

Do I pay for LLM usage on top of the subscription?

Every paid subscription includes a welcome bundle of LLM credits that never expire — use them from day one with no API keys needed. You can also bring your own API keys from Anthropic, OpenAI, Google, or any of 100+ supported providers and pay those providers directly with zero markup on model usage.

What kinds of tasks can OpenLegion agents actually automate?

Any task a human performs on a computer with a browser or terminal. Agents can browse and interact with any website, log into web applications, fill out forms, extract data from any page, send emails and messages, manage files and folders, write and execute code, process documents, post to social platforms, monitor pages for changes, and run custom automations — all 24/7 without supervision. Common deployments include sales outreach pipelines, competitive research, lead qualification, developer workflows, invoice processing, content production, and internal task automation.

How does OpenLegion handle API key security?

Through the vault proxy — agents never see API keys. Keys are held in the mesh process on the mesh host. When an agent calls an LLM, the request goes through a vault proxy that injects the credential at the network layer, tracks token usage, and enforces budget limits. Even a fully compromised agent cannot access your API keys.

Can I run OpenLegion in production?

Yes — OpenLegion is designed for production deployment. It includes on-premises support, a fleet model with blackboard + pub/sub + handoff coordination, per-agent cost governance, a per-agent permission matrix, credential isolation via vault proxy, and an auditable codebase of ~77,000 lines with 5,800+ tests. Defense-in-depth controls are enabled by default.

More questions answered — including architecture, LLM providers, and agent coordination. See the full FAQ →

For developers & technical evaluators

Quick Start

Two paths to your first AI agent

Easiest — no setup required

No terminal. No config files.

1. Create your account
2. Select a plan
3. Configure your agents
4. Run your fleet

We handle the containers, credentials, and infrastructure. Talk to the Operator — your fleet's foreman, auto-created when your VPS comes online.

Get Started →
Full control — on-premise support

Three commands. One machine.

Requirements: Python 3.10+, Docker (running), an LLM API key (Anthropic / Moonshot / OpenAI)
git clone https://github.com/openlegion-ai/openlegion.git && cd openlegion
./install.sh                     # checks deps, creates venv, makes CLI global
openlegion start                 # inline setup on first run, then launch agents
Read the docs →

Comparison

How is OpenLegion different from other AI agent frameworks?

Most AI agent tools were built for demos — OpenLegion was built for production.

OpenLegion ships vault-proxied credentials, container isolation, and per-agent budget enforcement as defaults — no CVEs reported as of v0.1.0.

Based on public security disclosures and community reports.

Feature comparison between typical AI agent frameworks and OpenLegion
AspectOpenClaw & OthersOpenLegion
API Key StorageIn agent config filesVault proxy — agents never see keys
Agent IsolationProcess-levelDocker containers / microVMs
Cost ControlsNonePer-agent daily & monthly budgets
Task RoutingLLM CEO agent decidesFleet model — blackboard + pub/sub + handoff (no CEO agent)
Test CoverageMinimal5,800+ tests across unit + integration + E2E
Codebase SizeSprawling~77,000 lines (engine, auditable)

OpenLegion launched in February 2026. GitHub star counts reflect project age, not production readiness.

Technical definition

What is OpenLegion?

OpenLegion is a container-isolated multi-agent runtime with credential vault proxy, per-agent budgets, and a fleet coordination model (blackboard + pub/sub + handoff, no CEO agent) — designed for teams that need secure, cost-controlled agent fleets in production.

Your AI team is one deploy away.

Try it for 7 days — full refund if it's not a fit · Cancel anytime · No coding required