Run autonomous agents with tools, memory, and workflows — on your own infrastructure. No vendor lock-in. You own everything.
Built for developers, builders, and operators who want full control over AI agents.
The current landscape forces you to choose between control, capability, and cost. Laudagi eliminates that trade-off.
ChatGPT and Claude are conversational. They can't run code, call APIs, manage files, or take real-world actions autonomously.
Cloud agent platforms own your data, control pricing, and can shut down anytime. You have no visibility into what runs or how.
Most agent frameworks give you no approval system, no audit trail, no cost tracking. Autonomous means uncontrolled.
Every agent run follows a transparent execution loop. Here's what a typical run looks like.
Every run is logged with full tool traces, token usage, and cost breakdown. Nothing is hidden.
Not promises — shipped infrastructure. These are the systems running inside Laudagi right now.
Autonomous doesn't mean uncontrolled. Every action is tracked, auditable, and governed.
Every tool call is logged with inputs, outputs, duration, and cost. Full execution trace for every run.
Dangerous or high-impact actions require human approval before execution. You set the rules.
Per-run token usage and cost breakdown. Set budgets per agent. No surprise bills — you pay only for LLM API usage.
Full session history with tool traces, LLM reasoning steps, and error recovery paths. Debug any run after the fact.
A layered runtime designed for reliable agent execution — not a wrapper around an LLM API.
Not another wrapper. Not another SaaS. A fundamentally different approach.
Deploy with Docker. Your data stays on your machine. No cloud account needed.
Agents use tools to take actions: run code, browse the web, manage files, call APIs.
Complete orchestration engine with sessions, runs, memory, tool security, and mission DAGs.
Every tool call audited. Every token tracked. Every decision logged. Open source.
Real workflows, not theoretical demos. These are the kinds of tasks agents handle.
No platform fees. No per-seat pricing. You pay only for LLM API usage.
From zero to running agents in under 5 minutes. No sign-up required.
Clone the repo and start with Docker Compose.
git clone https://github.com/openclaw/openclaw.git
cd openclaw
docker compose up -d
Add your LLM API keys and set up your first agent in the dashboard.
Open http://localhost:3000
Settings → Add API Key
Agents → Create Agent
Give your agent a task and watch it plan, execute, and deliver results.
"Research the top 5 competitors in our space
and write a summary report"
Self-hosted. Open source. Model agnostic. Full control.
Deploy Laudagi and run your first autonomous agent today.