OpenLegion
Summary
Repetitive research, qualification, and data extraction work doesn't disappear — it just gets delegated to a VA team that calls in sick, works business hours, and costs more every month. OpenLegion is a multi-agent platform built to replace that delegation layer with containerized agents that run around the clock.
Each agent gets its own isolated container, spend cap, and vault-proxied credentials — so a rogue agent can't drain your API budget or leak credentials to the next task in the queue. The platform deploys a coordinated fleet from a plain-English description of the function you need: a sales pipeline, a content studio, a research desk. Credential handling and per-agent budgets are locked down by default, which means you're not retrofitting security after something goes wrong. The ceiling appears when your workflow needs branching logic that the template model can't express — at that point you're describing edge cases in natural language and hoping the agent interprets them correctly. Teams with deterministic multi-step requirements often add a separate orchestration layer to compensate.
Bottom line: OpenLegion earns its place running high-volume, repetitive agent fleets — lead research, content pipelines, data extraction — but teams whose workflows depend on precise conditional branching will hit the limits of prompt-described logic before they hit production scale.
Pricing Plans
SubscriptionLast verified 2 days ago- Price
- $19/mo
- Free Tier
- 1 agent, 1 concurrent browser, 1,500 welcome credits
Basic
The $19 way to try OpenLegion
- 1 agent
- 1 concurrent browser
- 1,500 welcome credits
Growth
For growing teams
- 5 agents
- 5 concurrent browsers
- 5,000 welcome credits
- 2 teams
- Each agent runs in its own secure container
- Works with Claude, GPT, Gemini + 100 more
- Watch every agent, cost, and event live
- Your own deployment URL
- Bring your own API keys u2014 or use credits
Pro
Most popular plan u2014 Pro. For agencies & power users
- 15 agents
- 10 concurrent browsers
- 10,000 welcome credits
- 5 teams
- Dedicated VPS u2014 your own isolated server
- Each agent runs in its own secure container
- Works with Claude, GPT, Gemini + 100 more
- Watch every agent, cost, and event live
- Your own deployment URL
- Bring your own API keys u2014 or use credits
Pro Max
For high-volume operations
- 30 agents
- 30 concurrent browsers
- 20,000 welcome credits
- 10 teams
- Dedicated VPS u2014 your own isolated server
- Each agent runs in its own secure container
- Works with Claude, GPT, Gemini + 100 more
- Watch every agent, cost, and event live
- Your own deployment URL
- Bring your own API keys u2014 or use credits
Enterprise
Tailored to your needs
- Unlimited agents
- Unlimited concurrent browsers
- Unlimited teams
- Dedicated infrastructure
- Custom SLAs
- Priority support
- On-premises deployment
View full pricing on openlegion.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Per-agent spend caps enforce budget ceilings at the container level, so a misconfigured agent or a prompt injection that triggers excessive tool calls cannot consume your entire LLM budget before you notice.
- Vault-proxied credential handling means raw API keys and account credentials are never passed between agents in plaintext, which removes a common attack surface in multi-agent setups where credentials flow through shared memory.
- Support for over 100 LLM providers with no markup on usage, so switching the model backing a specific agent — say, moving a high-volume scraping agent from a premium model to a cheaper one — is a configuration change, not a rebuild.
- Container isolation per agent means a failure or security event in one agent's environment does not propagate to the rest of the fleet, so a single broken workflow doesn't take down concurrent production tasks.
- Native trigger integrations with Slack, Discord, Telegram, WhatsApp, and webhooks mean agents can be kicked off from tools your team already uses, so you avoid building a separate scheduling or event layer to connect the platform to your existing stack.
Cons
Sign in to edit- Workflows that depend on precise conditional branching — route this lead differently based on company size, or skip invoice processing if the vendor field is blank — have to be described in natural language rather than defined in code. At production volume, the agent's interpretation drifts, and teams running exception-heavy operations report adding a rules layer outside the platform to catch the cases that fall through.
- There is no free tier. Evaluation requires a paid commitment with a money-back window. Teams that need to run a live proof-of-concept against their actual data before budgeting the tool will find the evaluation model friction — and some will default to an open-source alternative like n8n or a code-first framework they can run locally at zero cost.
- The platform is closed-source, which means teams with strict compliance requirements who need to audit the agent runtime itself — not just the action logs — cannot inspect the execution layer. Organizations in regulated industries that hit this wall during security review switch to a self-hostable, open-source orchestration framework where the full stack is auditable.
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About
- Platforms
- Web, Self-hosted (Docker)
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-01T02:35:32.027Z
Best For
Who it's for
- Teams automating repetitive computer tasks 24/7
- Organizations requiring strict cost control and security
- Enterprises needing production-grade agent deployment
- Multi-agent workflows with complex coordination
What it does well
- Sales lead research and qualification automation
- Content production and blog publishing workflows
- Customer research and data aggregation
- Invoice processing and financial operations
- Web scraping and data extraction at scale
Integrations
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Frequently Asked Questions
- Is OpenLegion free?
- OpenLegion is a paid tool ($19/mo). A 7-day free trial is available.
- Is OpenLegion open source?
- No — OpenLegion is a closed-source tool. Source code is not publicly available.
- Does OpenLegion have an API?
- Yes. OpenLegion exposes a developer API. See the official documentation at https://openlegion.ai for details.
- Can I self-host OpenLegion?
- Yes. OpenLegion supports self-hosting on your own infrastructure.
- When was OpenLegion released?
- OpenLegion was first released in 2026.
- What platforms does OpenLegion support?
- OpenLegion is available on: Web, Self-hosted (Docker).
Hours Saved & ROI Stories Community
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Curated lists that include this category
OpenLegion is a commercial multi-agent runtime where you describe the team function you need — sales qualification, blog publishing, invoice processing — and the platform assembles a fleet of specialized agents, assigns each a role, and gives each agent scoped tool access: a built-in browser, code execution, file management, email, and form-filling. Agents run in isolated containers with vault-secured credentials and automatic spend caps, and the whole fleet operates without human intervention once deployed. The platform supports over 100 LLM providers with no markup on LLM usage, and the vendor states self-hosting via Docker is fully documented alongside a fully managed cloud option.
The differentiating architecture is the container isolation model. Each agent in a fleet runs in its own environment with its own budget ceiling and permission set — so a content-writing agent cannot touch credentials scoped to your outreach agent, and a spend spike in one workflow doesn’t bleed into another. The vendor claims zero CVEs on engine v0.1.0, and credential proxying through a vault means raw API keys are never passed between agents or exposed in logs.
OpenLegion fits teams running high-volume, repetitive tasks that map cleanly to role-based delegation: research-then-qualify-then-outreach, or scrape-then-summarize-then-publish. Where it breaks is at the edge of that model — workflows that require precise conditional branching based on what a prior step returned, or tasks where the agent’s interpretation of a natural-language instruction needs to be deterministic across thousands of runs. Community reports suggest teams handling exception-heavy financial operations add a rules layer outside the platform to handle the cases the agent gets wrong. Organizations whose compliance posture requires full auditability of decision logic — not just action logs — find the prompt-described workflow model insufficient and move to a code-defined orchestration framework instead.
Trigger integrations are documented for Telegram, Discord, Slack, WhatsApp, and webhooks, which means agents can be kicked off from existing team communication channels without a separate scheduling layer. An API is available, and self-hosting is supported, making it viable for organizations with data residency requirements.