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Quickstart

Deploy your first AI agent from a clean account.

# 1. Create a workspace

Open Console and sign up or sign in. New users will create or select a workspace before reaching the console.

# 2. Install the CLI

▓ shell
npm install -g @parel/cli

# 3. Authenticate

Create a workspace API key in Console > Settings, then:

▓ shell
parel login
# API key: pk_your_key_here
# Logged in.

# 4. Configure provider access

The example below uses Anthropic for the model and E2B for the sandbox. Either add your Anthropic and E2B keys in Console > Settings, or make sure platform billing is configured for usage paid through PAREL.

# 5. Create agent.yaml

This is the only file you need. It declares your agent's model, tools, memory, and budget.

▓ agent.yaml
version: "1"
agent:
  name: my-first-agent
model:
  provider: anthropic
  model: claude-sonnet-4-20250514
plugins:
  - system-static:
      prompt: "You are a helpful research assistant."
  - sandbox-e2b
  - memory-rolling-summary
  - budget-cap:
      max_usd: 10
runtime:
  maxSteps: 100

# 6. Deploy

▓ shell
parel deploy agent.yaml
# Deployed: my-first-agent
#   id: agent_a1b2c3d4

# 7. Chat

▓ shell
parel chat --agent agent_a1b2c3d4

  PAREL Chat
  session: abc123def456
  type /quit to exit, /messages for conversation log

$ What's trending on Hacker News?
▸ Let me check...
  [tool] bash({"command": "curl ..."})
  [result] {"output": "..."}
▸ Here's what I found: ...

$ /quit

# 8. Monitor

Open parel.sh/console to see your agent's sessions, costs, and live traces.

Next: Read Concepts to understand how the kernel, plugins, and sessions work together.