FastClaw / Get started
quick start
From installing a single binary to entering the Dashboard: run it first, then create the provider, agent and first session.

Installation
The official README provides a one-line installation script. After the installation is complete, running fastclaw directly will enter the first startup process and open the Dashboard on the local machine.
curl -fsSL https://raw.githubusercontent.com/fastclaw-ai/fastclaw/main/install.sh | bash
fastclawfirst start
The first startup will create FastClaw home, database and default configuration, and guide you to set up LLM provider and default Agent. The default Dashboard address is http://localhost:18953.
Start gateway
Running fastclaw, the process will load env, install bundled skills, start API server and Dashboard.
Complete setup
After the browser opens the local page, create an administrator or use a setup token to complete the initialization.
Configure provider
Add model providers such as OpenAI, Anthropic, Ollama, OpenRouter and more in Dashboard or CLI.
Create Agent
Select the model, write SOUL/IDENTITY, confirm the tools and sandbox, and start your first session.
First conversation
It is recommended to use low-risk agents to verify models, tools, and file permissions first, rather than connecting them to the production workflow.
fastclaw agents init demo \
--provider openai \
--model openai/gpt-4o-mini \
--api-key-env OPENAI_API_KEY
fastclaw agents lsStart checking
After running through, confirm four things: the Dashboard can be logged in, the provider can complete a conversation, the Agent file can be read and written, and the sandbox tool is limited as expected.
- Dashboard: http://localhost:18953
- Default port: FASTCLAW_PORT, default 18953
- Default data directory: ~/.fastclaw
- Running in the background: fastclaw daemon start